{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Create a Toy Example to Test EMOGI\n",
    "Here, we create a little toy example of a graph with ~100 nodes, ~300 edges and three cliques inserted. We will assign multi-omics features of known cancer genes to the clique nodes and those of non-cancer genes to the other nodes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import networkx as nx\n",
    "import sys, os, h5py\n",
    "sys.path.append(os.path.abspath('../EMOGI'))\n",
    "import gcnPreprocessing\n",
    "import gcnIO\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load Existing Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = gcnIO.load_hdf_data('../data/pancancer/all_omics_final_CPDB/CPDB_multiomics.h5')\n",
    "network, features, y_train, y_val, y_test, train_mask, val_mask, test_mask, node_names, feat_names = data\n",
    "features_df = pd.DataFrame(features, index=node_names[:, 1], columns=feat_names)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((13627, 1), (13627, 1), (13627,), (13627,))"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_train.shape, y_test.shape, train_mask.shape, test_mask.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Get the Simulated Network"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "toy_network = nx.read_edgelist('network.edgelist')\n",
    "insert_positions = []\n",
    "with open('insert_positions.txt', 'r') as f:\n",
    "    for line in f.readlines():\n",
    "        if line.startswith('#'): # comment\n",
    "            pass\n",
    "        elif line.startswith('Subnetwork'):\n",
    "            positions = line.split(':')[1].strip().split('\\t')\n",
    "            insert_positions.append([int(i) for i in positions])\n",
    "clique_nodes = np.array(insert_positions).flatten()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/sasse/anaconda3/lib/python3.7/site-packages/networkx/drawing/nx_pylab.py:611: MatplotlibDeprecationWarning: isinstance(..., numbers.Number)\n",
      "  if cb.is_numlike(alpha):\n"
     ]
    },
    {
     "data": {
      "image/png": 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TmJubIzAwUHsgZKCB3pvm7NmzCAsLQ+3atfH777+XOaCbMmUKoqKiwKSkqNonEKDodfsBHbQrr1JcXIyDBw9i/Pjx8PLyAofDgZ+fHw5+/DGUQmHl+/AdD3RYqiasYH6fMMCMtdjICBc+/VS1HldR3uYa2ls0btu8eTNkMhmGDh2KnJwc1cGUFNWMqzL3VwljsGfPnsHCwgJPnjzRKX9hYSFEIhEyMzMhFArLVP8DwLhx42BtbY2kpCTNE29wacQQ3LlzBwMHDoRUKsW8efO0bANeJz09HRKJBJmZmS8PZmdjpY8P/mvZEkdsbPBfy5Y6aVdu3LiBpUuXokuXLrCyskJgYCDGjx+PgwcP4sqVK5hka4siIyPD/Cbe8kCHpWrDCub3iXdtrPO26n8HvpsfPXqEvn37wtnZGcnJyUB0tO7rzK8lphIf2E2bNqFdu3Y6509KSkKzZs0AAIGBgTh27FiZ+bOysmBubg4/Pz/t2eaPP6LI2Pit9nd55ObmYsqUKbCxscHo0aPx6NGjcq9RKBRo3LgxFi9erHWuefPm+Pvvv7FixQp06tSpxOsLCgqQnJyMkSNHwtvbGxKJBB9//DF+++033Lt3TzNzSor2FjV901sY6LC8H7CC+X3iXVt9GmDGrjQxKXsN7V3O4LKykNG/P3aYmlZaKL9IxUZGuFGScVkp9O7dGwsXLtQ5/+eff45Zz/uxf//+JQqj1xkyZAjs7OyQmJiocXz37t34ytJSN5VsWRoKAzi6USgU+PnnnyGTydCzZ09cv35d52sXLFiA4OBgTbuI53h5eSE9PR3Pnj2DSCTCvXv3wDAMLl68iPnz5yMsLAwWFhZo2rQpvv32W6SkpKj3vZeIPksA72Cgw/J+wQrm94l3PWM2wBp3ARFi2rcvfYb3LtY8y1rLrmQq4vEwydQUrVq1wq+//lqmqlkul0MsFuPmzZs6NVepVMLBwUHt9GL+/PkYNGhQudddu3YNFhYW8PT0VAud69evw9bWFvv371cbvZW0JlvI45W+JmsAWwCGYZCUlARfX1+0aNECKRW0G7hx4wbEYjEuXLhQ4nmpVIp79+4hJycHrVq1QtOmTeHi4gJHR0d8+umn+P3333WalQMwjNGcLgMdlmoLK5jfJwwwY1WYmIDRx+pTD8HJcDjYLxbDwcEBtra2aNWqFXbv3v1StfourIR1XcuuTF9//DE2bdqEjh07wsrKCv3798fBgwe1VMn79+9HYGCgzk0+ceIEPD091X8fOHAAjRs31unamJgY1KxZE2vXrkV+fj7q1auHOXPmaGbKzsZP7u7IbN0aiIhAbpcumGRqCuXr6tyK9F8ZAujMmTNo27YtPDw8sGXLFt0s9V+BYRiEh4dj2rRpJZ47ffo0OBwOQkJCYG5ujnr16sHBwQFnz56tcF0ADPI7ZIggJ9LZ+IylesEK5vcJQ8xYORy08PLCggULdDY00kCftTVTUzApKdi8eTNcXFxQr149uLq6on79+ti0aZMqDu7b3FdbmbXsiqRXlgzu3LmD+Ph4eHt7w9XVFdOmTcONGzcAALGxsZgyZYrOj2D8+PEYO3as+u/Hjx/DzMysbNXrc9LS0mBjY4PatWujV69e6NmzZ4nCyc3N7aUvcQCenp7a+771tAW4desW+vbtCzs7OyxatEjn/duvs27dOvj6+qoNwx4+fIj169ejb9++cHBwQO3atcHn87F9+3Y8e/YMSqUSzs7O5fsjLw0Daa62CgRIS0urXBtYPmhYwfy+oaeql4mOxl9//YWPPvoIVlZW6NevH44fP67zzKG4uBgLfX0r7r7ytdlSYWEhZs6cCRsbG0RGRiIwMBBbLSwMIxB1UdXrs5atRzsYhkFKSgqGDBkCsViMtm3bQiqV4ujRozq/Aj4+Plr5dfbnDKBjx46wtbVFjRo1SlSxKxQKmJiYaGyfGz58OGbMmPEykx79xwiFWNSvH2xsbDBu3LjKDRCf8+DBA9jZ2WHZsmWYMmUKGjduDAsLC0RERGDhwoW4fPkyLl26BDc3N43rJk6ciBEjRlSqTqZjR4O8Hxfc3TF8+PBK3zvLhwsrmN83DGgcde/ePcTFxaF27doICAjA4sWL8fTp01KrViqViImJQceOHSFfsMAg25nu3buHzz77DFKpFGdr1TKMQNTFuM3QxjuvJx1m7gUFBYiPj4dAIIC1tTUGDhyII0eOlDlIunz5Muzs7LQMnKKiorBx48by7xsqN51cLhcODg4lbj+6efMmZDKZxrEdO3YgJCTk5QE9I36l1Kyp85p6Sdy5cwcrVqxArVq1IBAI4Ovri9GjR2Pv3r0oLCzUyHv06FE0atRI49jly5chlUrL3X71Ovn5+ThQs6ZB3pGc6GiIxeLy/QewVDtYwfw+UgkVIlOGcFQqlUhOTlbv1xw4cKCW2pJhGAwbNgzNmzdHXl6e6uArxkKVcY/5Kv/88w9229kZ5IO3y9YWAwYMwMyZM/HHH38gPT1d8+NnSOOd0pKOa93Tp0/HF198gczMTHz//ffw9PSEh4cHZsyYUWK4wYSEBAwYMEDr+KRJkzB+/Phy67tz5w5kMhl8fHxQt25d/FjCO3HgwAH1VqwXPHv2DObm5qoZ9tu0BXhu6a3o2RP3mzTBKW9vzHFwgJtIhObNm8PGxkZD5V4S27ZtQ8eOHbWOBwcHY8uWLWXW+6qF+bNJkxAWFIRV/v5gDLTk0r59e6xevbr8fmCpVrCC+X1FR6MbhsNBPpeLPV276lTsnTt3MH36dDg7O6N+/fpYunQpnj17hsmTJyMgIKBktWN2donRjSrqwYiZObPyTj2eJ6VAgEuffYbFixdj5MiRiIiIQJ06dWBiYgJnZ2e0bdsWiY0bo9iQjiFeSwoiMNHROt1zgwYNsHfv3pd9wDA4fvw4Pv/8c9jY2KB9+/ZYt26d2m1o8+bNsX37dq1yEhMTSxQ+r1JUVIRmzZph6tSp2LFjBzw8PCCTybRckq5cuRK9evXSuj4kJAQ7d+58Oz62U1KQ27495EZGKHwtsIjCxASMiQl2mZriyLx5Zd4zAPzyyy/45JNPtI7//PPPiH79OZVhYZ7P4aCYxwMTFgbo+Z6+GJj8/vvvaNmyZbn3wFK9YAXz+4yOM9bbW7fCzs4OBw4c0LlohUKBpKQkREVFQSgUQiQSaQiQN8IbnInJ5XJcuXIFf/75Jy4EBb0xofziA75r+vRyb7e8oBX5+flYu3Yt2rdvDxsbG/Tp0wdmZmYvNRavcPXqVdSoUaPM+oYOHYpOnTpBqVSCYRj4+vqiSZMmWlbZkydPxsSJE7WunzFjhmpd9g1t28vLy0NSUhI2hIQgn8MpN4qYkkinrUazZs3CqFGjtI4/efIEIpEI9+/fVx2ogIU5w+NVfq/7K9v6ioqKYGtrq7N9AEv1gBXMHwI6zFh37doFBwcH3L59u0JF//bbb5DJZIiNjYWTkxMaNmyI5cuXl+sCstJER1c6nq6SCPLIyPLrMJSjlhJSkbExLn75JRwdHfHs2bMym1GRoBW3bt1C165dYWZmBk9PT3z//fcaz1KpVMLS0rJUV6srV66Eu7u7hsZj9erVaNCgAXykUhROm6ZW2x52cUFK9+5aA5zU1FR4eXkZrP+YiAicP38ec+bMQfv27WFubo4ENzeDeyH76quvEBcXV+K5jz/+GD/88EPllocqe++v2XqMHj0aX331lU7vAUv1gBXM1Yhp06ahadOmOhu8bH0+0z537hwA1Sx6+/btiIiIgI2NDYYOHWr47R4pKSispJq5kMdDpEyG3bt3l12HoWZ8ryQFEXKJMMrMDLa2tqhXrx4GDBhQZl+HhYVVKGhF586dsXLlShw5cgQDBw6EtbU1wsLCsGHDBhQUFCA4OFg7ghSAU6dOQSKR4OzZsxrH5UePYpepKQq5XC3VvoLP13IMolAoIBaLkRsdbZA+22RqCicnJ3z22WdITEzEs3373ojXt08//RQ///xzied2796NXnXqvHkL/TIGERkZGbCzs6uwIRrLhwsrmKsRSqUSERER+OKLL8rNu3//fkil0lI9MN28eROTJk2Co6MjmjRpgpUrV2qHT6wE9+7dQ6xQWOG90vlcLtKHDcPOnTvh7OyMTz75pPRAHYZYI30hwExMoDA2xr9ubmhpZgYbGxsYGRmBiEBE4HK5EIvFCAwMVLvdPHToEK5fvw4LC4syreBfJT8/X2tGnJeXh9WrV6Nt27YQi8Xw8/PDiBEjNKy6Hzx4gFq1amHDhg2aBT6fISoraFXfo0cPpHTrprfxU7GREe6NHq1pgf6GvL5FRUVpuSF9gUKhQJJAUGktDTgcgMvVe3dCixYtsGnTJl1eBZZqACuYqxmPHz+Gq6trmZagJ0+ehFQqLXH29TpyuRxbtmxBWFgYxGIxhg8frp5hV4YJEyZg8ODBFTJuY0xNcbxvX/j4+CAwMBC//fYbhg0bBnt7e6xfv157+5EB1rKVRLhUr57GksG5c+cgFotx/fp1nD17Fq6urjA2NkZERASaNGkCe3t78Hg8GBsbg8vlgsPhwNnZGa1bt0ZsbCw2btyIjIyMEtect23bVqaR0I0bNxAVFQULCwv4+PggPj4emZmZaNeuHcaMGaOZWQ/HID///DNC69VDgb6DmtdtAd6gfUGzZs1KDOv5ot7iiu7Jfz3x+UDHjiXaehTyeJAbGakGDcnJpfoSX7VqFUJDQ0t9vizVC1YwV0P++ecfSCQS/Pvvv1rnLly4AHt7e/zxxx8VLvf69euYMGECHBwcEBwcjFWrVlVoj+azZ88gkUhw5coV1YEyjNsYgQDFPB628/lYO3IkiouLoVQqsXXrVjRq1AgeHh7q2LmdOnXS3nqk5+wsvU4dTJ06VeseZsyYgXbt2oFhGBQVFcHR0VGt9s/JyYFSqcStW7fQpk0bdO7cGR999BH8/f1hbW0NLpcLIyMjcLlcWFlZwdfXF127dsWMGTPQsWNHTC/HoCw1NVUVI/jgQfTv3x8mJiYQi8XYsGHDy729euyDV5iYoLuLC3g8Hg5KJOUaZ5U5e3x9dvsGLb3r1KmD8+fPl9xpM2eqAqsYot4SbD3O9+uH4Z6e5foSl0dGoq1IVKGgHSwfLqxgrqasWrUKbm5uePz4sfrYjRs3ULNmTfzyyy96lV1cXIzNmzejffv2kEgkiI2NLTW4wKvMmTMHH330kfaJ5x+8oh49sJPH0zBuO3fuHEJDQ1GnTh3s2LEDDMOAYRjs27cP7dq1Q40aNdChQweIxWIsWrTopWMOPR21rB05ssQlAblcjvr166vXNJOTk1GrVi306tVLHVJSLpfDxsZGa7Agl8tx9epVbNu2DV9//TXCwsLg7u4OMzMzvFCN8/l8yGQyNG3aFAMHDsTy5cuRkZEBuVyO/Px8CAQCFBUVYdOmTahRowYWLFiAVq1aQSKRYNiwYXgUElJpta2CCEfs7cHlcjGxQwcUGzJe9RsM0CIWi5H9fCatVCqRk5OD27dvIyMjAw/Cwt5YvQAgX7AAeUTl9zmHgyIjI2wLDy/vZ8JSDWAFczXm1e0z2dnZqFOnDmbPnm2Ywp87aMiJisJ5V1f8bmKCxS4u2LxkiZZnJkC1baRGjRra/phfIT8/HyYmJiWeS0pKgqenJ9q1a6dh5JSamoquXbvCxsYGTk5OaNSokXr2pFy0qMKGZoVGRmB+/BGrV68u1aI6LS0NEolELXg7d+6M6dOnY9euXXB2dkZoaCjq1q2rc1ceOXIEPj4+OH/+PFasWIFBgwYhODgYNWrUgImJCYgIHA4HFhYW4PP5qFevHgQCAebOnaseeF2/fh2zRo/WWwVdyOHATSSCUCjEz/XrV1w4l7bOaiBL73+cnNCjRw+Eh4ejRYsWqFevHogI9vb2MDMzA5fLhbm5ORwcHODu7o4DlpaGEcwleZurxJJBHocDZQXCf7J8mLCCuRpTVFSExo0bY+LEiQgMDMSECRP0L7QMBw1yPh+FXC528PmYFxODS5cuqS/79ddf0aZNmzKLlsvl4HK5pZ4vLi7GDz/8AKlUisGDB6tnSYBKRd+3b1+YmZlBKBRi1KhR+OSTTxBfu7bK0EyXvatCIaY5OmLu3LnYtWsX2rVrV2pbpkzv26TvAAAgAElEQVSZgvDwcDAMg2vXrqnDOubk5KBu3bqwsLAo1SDpdcaMGVPms8nLy8Px48eRkJAAJycnGBkZwdzcXG2EZmRkBKlUirkyWcV9nL+Wio2M8HdExMv17ufCp9w9xxwO5Hw+9vfogbi4OIwfPx7Dhw9Hv3790K1bN/zl4GAQAXmpcWOsW7cO27dvx99//429e/dCJBLhzp076gAWL2AYBml16xpGML8+Y9ZDIyM3MWEjTlVzWMFczbl06ZLaQKlSIfBepQIGW0VGRhhtbo7WrVtj3bp18Pb2LnebE8MwICItP9Gv8/DhQ4wYMQISiQSzZ8/W2IZy48YNfPLJJ+BwODAyMsJvv/2msZateG0GmEeqGNIvXIv+999/cHBwwPz588sM1VhUVAR/f3/8+uuvAFQuMz/66CMwDAMXFxf88ssvcHd3R/fu3XGvpHCKr+Dh4aFTfGKlUglvb2/4+fmpjz1+/Bg7duzAuHHj8JdMZhAh9FeNGuByuWjQoAF8fX3RQSLBJiLkP++vV/MWcDgo5HJxVCbDpPBwDBkyBGPHjsW0adMwb948LF++HBs2bMCFfv20+r7CqYQ15oyMDLi7u5f4fPr164e5MhmUb2JtWw8bBuWL942l2sIK5mpMcXExOnXqhNatW8PW1hb//fdf5QurpP/ulP794efnByMjI4wdOxZXr14tsxpjY+MSVeElceHCBXTs2BFubm7YunUrGIZBYWEhoqOj0bZtW0RGRoLD4cDDwwPHjh0DsrNxtEsXHHF1VRvvLHFzQ20LC41yjxw5AvHzuNJlcerUKUilUty5cwd5eXlwdnbGsmXL4OzsDIZhkJ+fj7Fjx8LW1harVq0qcWB04cIFODo6ljsYAYDvvvsOnp6epVtvG0hdfLt+ffj7+yM+Ph5paWmIjY3Fp59+isJbtzDBxASFPXpU3DXrG7LKPnz4MJo0aaJx7PHjx2jdujU6deqEvWvXolDfYCZvwMKcMTGpsEtblg8HVjBXU5RKJXr37o2wsDAUFRUhPj4eQUFBlYt0o6ch1YCAAMyePRsjR46ERCJB+/btsXnz5hK3DZmampbrUet1du3aBW9vb4SEhCA4OBhdunRRz6KvX7+OoKAg8Hg8NGzYED169MDMmTPV106cOBGmpqZaZS5duhQcDuelO8dSmDBhAqKiosAwDDZt2gRbW1sMGzZMI09qair8/f0RHh6uFXHp+++/V20f0+EeHRwccPr0aVhbW5es/TCQgdWz6GjMmDEDw4cPB8MwcHNzQ0pKCnJycmBqalp5zcsb2Me8ZcsWdOrUSf33tWvX4OXlhV69eqFjx45wcXFBuodHlbMwLzYy0j2uOMsHByuYqyEMw2D48OFo1qyZ2u8ywzDo1q0bBg4cWPEC9figMhwO/jQ1hVwuB6AKhbh69Wo0b94cDg4OmDBhgsZMXiQS4dGjRxVu4uPHj+Hh4QETExMMGDAAWVlZGud37NgBsVgMHo8HDw8PJCUlgWEYJCUlwcjISKs8hmHA4/EQHBxcpsemwsJCeHt7Y926dWAYBpaWlhgyZIhWvqKiInz77beQSCRYsmSJeobcpEkT7Nq1q8x7u3btGmxtbdV7de3s7EoOqWgAgVHI5WKymRns7OxgaWmJ2NhY1KpVC8XFxbhw4QI8PDzKbGuZGDCk6QuWLVuGfv36AQCOHz8OOzs7NGnSBFKpFAkJCZg6dSoa83jIfy1Qhl71GmgAxJQQSISlesAK5mrI1KlTUbduXY2tUgCQk5MDT09PLFu2TPfCDKC2kxsZlai2O3fuHEaMGAGxWIywsDBs2bIFEolES6iWx5MnT9CsWTP0798f9+/fx8iRIyEWizFr1iwNtXhubi5EIhHMzMxQo0YNBAQEYP78+eByucjMzNQqVyaToV27dhgwYECZs8QTJ07Azs4O//77LywtLSEWi0u9h/T0dDRs2BAhISE4duwYRCJRmar7vLw81K1bF/Pnz1cfa9++fYkRqAylLmaysnDx4kWYm5vDzc0NUqkUFhYWqFevHlxcXLB7927k5OSU2uayYH78seIGamV41Pr+++8xZswYrF69GqampjA3N8fo0aNx+/ZtREREwNjYGIMHD4Zy0aJKO11Rt51hkJ2djUfBwQYRzNmNG1eqD1nef1jBXM1YsGAB3NzccPfu3RLPnz9/HhKJpMxtSxoYYBbGCARlqu3y8/OxcuVKNGnSBFwuF19++WXJM8ISePjwIYKCgjB06FCNddqLFy8iMjIStWvXRmJiotohCJ/Px9GjR+Hn54fAwED4+PiAw+Ggf//+WgKybt26OHz4MPz9/TF37twy2zFmzBgEBgbi448/Vq/JloZCocDs2bNhZmaGunXrQqFQlJiPYRjExMQgJiZGY2Dw1VdfYdq0aSUXHh1dvhvO0tJratvu3bvD3Nwc//33Hx48eIAvv/wSPj4+aN68OczMzBAQEIChQ4di7dq1uHHjRpn984KlS5fiWwcHlatTXdpTTgCL2NhY+Pr6gsvlIiwsDNevX8fNmzfh6uoKPp+vuWdfRwtz5rmFeXJ0NIYMGYLw8HB4e3vD1NQUNjY22GltbRDBfMDZWac+Y/nwYAVzNWL16tWoUaMGrl27Vma+33//HbVq1Srd1/SrvEHHECUhk8nQu3dv2NjYICIiAtu3by9VcGVlZcHf3x+jX/fJ/Ap79uyBr68vWrZsiU2bNsHNzQ2AyjBuxowZEIlEEAgEkMlkcHR0xOzZs9Vr3K1bt8aePXvUltpJSUmltjs/Px+mpqYYOXIknjx5Ant7e5w4caLMe23VqhW8vLzQsGFDpKena53/4YcfULduXa0wkGvWrEG3bt208p87dw6xwcHIq6xgfk1tO3ToUNja2qr/nj59OsaNGwdApZo/duwYEhISEB0dDalUCicnJ/zvf//DggULcPr0afXyxQvOnDkDiUSCCxcu4NO6dbFTIFAN2soIaVratiKGYZCYmAg+nw8+n48dO3YAUPmAt7CwgEgk0rJ0ZxgGj/fsQZq7Owo5HC0L8xcW+ntFIoxp1QojR47EDz/8gG3btiEtLU3t9zxr1Ci9430zAgG+MTEp14aB5cOEFczVhO3bt8POzg4XDhwo1V/vq4wePRqhoaGlCj01hgqhWJKDhhJwc3PDxYsXkZubi+XLl6Nhw4ZwcnLC1KlTNdTNt2/fhqenJyZNmlSuMZJcLseSJUsgEong5OSkoU1ISkqCiYkJ+Hw+1q9fj+7du0MqlWLKlCno3Lkz1q1bB0BlqS2VSkv1E56TkwOhUAh7e3s8ePAAK1asQIMGDUq1ts7NzYWFhQUePnyIJUuWQCKRYOrUqer17IMHD8LW1rZEK/Zz586pBxiAKjDI559/DqlUitmzZ6P4hx/0VtsCQGhoKMzMzNTvyKBBg7CwFOcYDMPg0qVLWLFiBQYMGAAvLy9YWlqibdu2mDx5Mv744w/Url0ba9euxeXLl2FsbKxSz+sQ0vR1Tpw4gaZNm8Lc3BwikQhr1qwBwzCIj48Hn8+Hs7Mzli5divj4eAwdOhQdO3aEj48PzMzMYG1tDT8/P9jzeBhnZITzQUG426ABHkVEIP/bb0utNysrC/Pnz0dQUBC8xGKDWHoP6d7dcA5/WN4rWMFcDThw4ADaikR42LJlmf56Xw3xJ5fLERISgokTJ5Zd+FueMXt5eWnNHs+cOYNBgwbB2toaUVFRWLFiBVxdXUuNwVsaU6ZMQf369SEWixEXF4eCggKcO3cOnp6eEIlEsLa2xsSJE5GWlqb2Rd2qVSv1gODXX39F7dq1S5zlbNy4EaGhoRgxYgRiYmKgVCrRuHFjLF++vMS2JCYmajhcuXnzJsLDw+Hn54edO3dCJpPhzz//LPFauVwOoVCIu3fv4ttvv4VYLMbIkSPx8OHDl5l03HOueD5TvP5avOAHDx5AJBLBw8MDqc9nrZ06dcKWLVt07u8HDx5g+/btGDt2LCQSCYyMjBAQEAAPDw8YGxuX7t+6FK5cuYLOnTvD2toaNjY2aNSoEezs7NC4cWNYWlqCiGBsbIy6desiOjoasbGxmD9/PrZu3Yp///1XI1Z1y5YtEVSzZpmD2Pz8fKxfvx4dO3aESCRChw4d0LhxY9jZ2eGij4/eccUPHjwILy8v/f0LvGueewEsbzLA8hJWMH/gnD59GqPNzaEwMalwaLp79+6hRo0aJRsSvcAAa8z5RIizscHgwYORmJioZZT2Kv7+/jhz5kyJ5549e4bp06eDz+fD2toa06dPx507d3Tuq379+uGnn37C5cuX0blzZ7i4uCAhIQE+Pj6IiYnBzJkzERUVBU9PTxw+fBhffvklGjVqBGtrawwYMACXLl3C2LFj0bJlSy1L7V69emHRokXIzc2Fq6srtm3bhtTUVNjZ2ZV4v3369MEPP/ygcYxhGPzyyy8wMjJC8+bNSw2zqVAoUKtWLUilUvTo0aP0veFlBAmRGxujiMvFcUdHxDZvrhX5aNGiRejZsydGjBiB7777DgBQr149tZCuCC+ctTx58gQ7duwAj8eDs7Ozlvr71KlTyMrKwsmTJ7Fp0yYkJCRg2LBhaN++PcRiMV74Ejc2NoaPjw9GjBgBGxsb2NnZgc/nY8KECboJuZQUpLm5qRzLvPZuM0IhFHw+Tjo7o7WFBdq2bYuvv/4aLVu2RM2aNbFw4ULVc9HDwryQx0OXmjVx+PBh1KlTB4cPH65wn1YJyvACWNJkgOUlrGB+wQc4qrt48SK+srSEXA9/xkePHoVUKsXly5dLrsQAlr4KY2Oc3bcP8fHxaN++PczNzdGkSRNMmjQJhw8f1tjPXL9+/VK9YJ07dw6Ojo746aefcPLkSQwcOBBWVlbo0qULkpOTy3XS0axZM+zfv1/99759++Dh4QEzMzNMmjQJ//vf/9T7kWUyGYKDg/HZZ5/h/v37mDRpEiQSCT766CO0bNlSw1K7uLhYI2jF/v374ejoiMePH2PAgAEYMWLEy76cORPKjz/GLmNjPOvcWesdHDx4MDp06IBu3brB3d1dK5xhcnIy/Pz8YGdnpx3usTSys8HMmoVVXC7OODlhFZeLnIkT4WJujn/++UftZ/zVuho1aoSkpCTs3LkTISEhAABbW9tSjQpL4/jx45BKpbh69SoYhsGXX34JExMTzJs3DwkJCejduzcCAgLU0beICObm5qhTpw4iIyMRFhYGCwsLdO/eHYsXL4ZEIsHmzZsBqDRFHA4Hpqam6jXmctExTvULF6MzXVzg4eGBFStWaO+71yO85qZNm2Bvb4+WLVui1/u4bUpHjYwuBnzVEVYwf6Cjulu3bqGTvX3FhfKrH4jns5+FCxfC399fy8hIjT7uBzkc7LawQJMmTbB7924wDIOCggLs2bMHX331FQICAiASiRAVFYWFCxciICCgxBnEmTNnYG9vr3Kx+QpPnz7F4sWLERAQgNq1ayMuLq5UF5gSiURrhp2SkgInJydIpVIIBALcvn0bAPDo0SOEhITA1NRUrVHIyclBQkIC7O3tYWFhoXYksm/fPtSvX1+j3MGDB6Nfv37Izs5GW5EIT9u0Kfcd3DZxIjw8PNRGRomJiZDJZBg6dCiOHj2K0NBQuLm5YfPmzfjhhx/w2WeflfWKaJCdnQ2hUIiRI0fC1dUVGRkZiI6OxvLlyzFmzBg0b94cLVq0AMMwuHjxIuzt7SGXy5Gbmwtzc3M8ePAAfD6/zMEPwzB49OgRTp06hc2bN+Pbb7+FhYUFgoKC4OfnBwsLCxARTE1NERUVhREjRmDu3Ln4448/cObMGTx+/BgPHjzA1q1bERERgRp8Pr7icLDV0hKHra2x3tgY6Z98AiYrC/PmzYNQKAQRaQQ1KZNKCFI5n1920Ak9BFR2djYiIyPB5XLLdVdbpdBjQMKionoL5g90VHf//n14enrikq+vQTwpMQyDXr16oVevXiWrAvV0DKE4fhxr165FnTp1EBwcjH379mkUn5WVhTVr1qBv377g8/mws7PDgAEDsHHjRjx8+BAnTpyAra0tNm7cWGqfMAyDEydOoH///rCyskL37t2xd+9etSB5+PAhLCwstO4vJSUF9evXx9OnT2FlZQWRSITp06cjPz8fycnJCAwMhKurK3r06KEW+IWFhZgxYwZ4PB68vb0RFRWlFbs5JycHzs7OSB82DMXGxir/yGUk5rmV8O3X1vzPnTsHd3d3cLlcDBkyRMM4rFGjRjq8LSpOnDgBmUyGr7/+Gu3atUNSUhI2btyIdu3a4fHjx5BKpXB2dsaePXvwzTffIDY2Vn1tq1atsGzZMtSsWROPHj3C6dOnkZiYiDlz5mD48OGIjIyEv78/LC0tYWFhAX9/f3Tq1Am1atVCSEiIWvDGxcVBIpGU+Rz37t2LGA8P7Le2hpLPV1ltv9JP+aSynE7kcBDx3AlKuQaMwBtxbqKmjCUDXSzMGzduDAsLC4wZM6ZynvneJm+yH6sR1Vcwf6CjupycHAQFBWH68OEG9T2cl5cHf39/LFq0qOSKKxni7nBMjLoIhUKhjhMdEhKCAwcOaFXTunVrLFu2DPPmzUN4eDiEQiGMjIzQvXt37N+/v0wvXC948uQJFi5cCD8/P7i5uSE+Ph5JSUkICgrSynv8+HE0aNAAADBgwABMnDgR3bp1g7OzM+Li4hAQEKDh83rFihVq4X7gwAFYWlrCyMgIHh4eWLdunYaQOP/FFxXfuvT8HczJycHEiRNhY2ODsWPHIjExEc7Ozujbty8ePXqEJ0+eaFhMl8f69evh5eWFyZMn47PPPsOiRYuQl5cHkUiEe/fuYeHChfD19UVgYCBkMhlmz56tFrxeXl4QiUTg8XhqwRsZGYnhw4djzpw5SExMxOnTp/Ho0SN138TFxaFp06Zq9W9xcTEcHBwgkUhKdMV69uxZhIWF4RuxGHI+v1zDKiURCng8DOXxNKy/S3J+olQqkR0cXO7gSJdBbJm8YmGeExKCjQIBFN9/X+5y2e7du+Hr64uuXbvC09MTx48f1+mZvhPegFvV6kj1FMwf6KiuoKAArVq1wueffw7GAEZZr0fNuXz5MqRSKY4ePVpyAyoQXQqmprg3ZQocHR2xYsUKjWLkcjlWrFgBFxcXtGnTBkeOHFGf69Chg3q/8N69eyGRSJCQkIDx48ejQYMGsLCwQHh4OObNm4dz586VaezDMAyOHj2KTz75BEKhEM7Ozvj77781rjly5AgaP/fAtHbtWkRFRQFQCV0fHx/w+Xz1mvepU6dQr149tG3bVm1wNX36dBgZGWHNmjUIDg6Gq6srfvrpJxQdPlzpd7CYz0eoWIxevXppuCvNycnBsGHDIJPJkJiYCBcXF2RkZJT32gBQCcqGDRvim2++wfDhwxEVFYW5c+eiTp068PPzg7+/v3qN90U0sheCNz4+HhKJRO0TvDz+/vtv2NnZqdfcAdXea5lMprULIDMzE/3794dUKsXebt3AVLDP8rlcPIuPx/bt2/H1118jODhY7fykZ8+eiIyMhK+treEDWehAUFAQkpOTy82nVCpRq1YtnDx5Ehs2bICdnR3Gjh1b9WbPbygQSXWkegrmD3BUJ5fLERUVhY8++kg1S3pD25i2bduGGjVqlB6qsAy1XQGHA4WxsYbaLiMjAzKZDKtWrdIqqri4WB2NKTQ0FMePH1dvydm5cyekUqnWrPrBgwfYuHEjBg4cCGdnZzg6OqJv375Ys2ZNma48Y2NjERYWBm9vb3h6emLOnDl4+PAhDh06hGbNmgFQWalbWVmpZ6E5OTng8/lwcHBAnz59kJmZCblcjlmzZkEsFqt9MdevX19tqX3w4EGEhYUhSSCotAcuJREetWpV6r0cOnQIHh4ekMlkWLJkica5J0+e4J9//sEff/yBuXPnYsSIEYiKioKNjQ14PB74fD6cnJxgb2+PL774Ap9++ik8PT1x6tQprFmzBqampnBwcNBYS1YqlXAWCrExKKhc48l79+5BJpNp+P9mGAa+vr4wNzdXC+unT59iwoQJao1Azl9/GWQwnZWVhYSEBHh4eMDS0hJubm6YJBAgX9/fSUmhH8th/vz56K3jNsFp06bh888/V/dhly5d4O3trVM40LfGG5gMVFeqn2D+AEd1SqUSffv2RWho6EtVroEcfxyytkarVq3QoUMHteD38/ODg4MDBg8ejNjYWHz99deYPHkyZsyYgdmzZ2PhwoVYNWcOTvbogWvNm+NOUBDO1quHby0tcXTrVqSmpiItLQ0ZGRm4fv26ega1dt48KOLitD7uRZmZWLJkCZycnGBnZ4eYmBjY2tqWq9J74dRi4cKFiIqKgkgkQkBAAL766ivs2bNHY8bRpUsXrF+/HgzD4NChQ+jVqxesrKzQrl071K1bVz0T9PHx0dgSJBAIcO/ePYwfPx5isRjffvst8vLycPnyZbRu3RqmpqZYsmQJIiMjMXDgQFU5WVlQ6ht7uJR38IXg3bBhA1xcXGBkZIT69esjICAAVlZWMDc3h6+vLyIiIvDFF19g9uzZ2Lx5Mxo1aoTQ0FDMnz8fKSkpqFevHgCVBy+xWIwbN24gLy8PRkZGkMlk+P3331UVPjeeLORwtH1cv2Y8qVAo0Lp1a61ZcXJyMhwcHNC5c2cUFxdj0aJFsLOzQ58+fV668tQzUMrNBg0QHh4OkUiE3r17Y/fu3eoBFvOW9+K/4N69exCJRMjNzS03b2ZmJqytrdVe5xiGwbp162Bra4tx48bpHAr1jfKO+vFDhAMAVJ2YNYto8mSiwsLKlyEUEk2dSjRmjOHaVUkA0KhRo+j48eO0Z88eMjMzU53o1YtozRq9y89q357OjhlDxcXFVFRUREVFRVRQUEAJCQnk4OBAHTp00Dj3enpx7tixY2RtbU1isVjrnFduLg15+pTaKZUEIjJ9pf4CIuIQ0UEzM1omldLWO3eouLiYRCIReXl5kVQqJRMTE3Xi8/kaf7+aeDwe3b59mzIyMujcuXN08+ZN8vb2poYNG9K2bdsoISGB6tatq86fl5dHs2bNorVr15KLiwt9/vnnlJ6eTq6urjR27FgiInJycqIjR45QzZo16b///qOxY8fSsWPH6Pvvv6fmzZuTl5cXCYVC6tOnD+3evZs+/fRT+vLRI6IZM4iUyko/FwWfT8c6dKDE2rXpv//+Uye5XE4uLi5Uq1YtYhiGzp8/TwDI0dGRFi9eTH5+fsThcLTKc3d3p4CAAGrXrh117dqVXF1d6cmTJ0RE9Nlnn5G7uzs5OzvT3Llz6eLFi2Rra0vnv/iCuF99RVRQoPqklgaHQyQU0vaWLWluYSHt2bOHeDye+nSbNm3o8uXL1K9fP1q/fj3VrFmTZs2aRfXq1VNlyM4mcnbW6zdbxOXStgULKPyTT17+RojoypUrlNemDdW9ebPSZauJiCDavr1Cl4SHh1NMTAzFxMSUmzcyMpI6d+5M/fv3Vx/LysqiwYMH06VLl2jlypUUFBRU4WZXFgCUmZlJFy5coIyMDAqZPZv831E/fmgYvesGvHXS0vQTykSqD9HZs4Zpj57MmDGD9u7dSwcOHND44JC/P9HmzXrdK2NiQnZt25Jd27Za5yIjI6l+/frk4uJCXbt2LbOc9PR0at++Pf37778kEAg0Ty5eTDR6NBHDlHit8Pm/7fLzKeT2bRrJMFT46ackFApp7dq1RETUtWtXsrOz0xD2L1JeXh49evRIYzBgbGxMXl5e5OTkRFlZWZSYmEhZWVnUq1cvMjMzIz6fT1wulxQKBeXn51NhYSGdP3+eYmNjiWEY4nA4lJCQQBYWFnT//n1q27YtWVtbqwV6jRo1aOjQoSSXy0kkElHr1q1p27ZtVOPuXXIZNYoYhiFuhZ+GJkbFxaT85x9SOjtTw4YNqXPnziSTycjKyoq4XC5xOBy6e/cu9evXj3bu3EkrV66kli1b0rBhw6h79+7E4/GIw+EQh8MhhmHo5s2b5OXlRY8fP6ZHjx6RQqGgM2fOkJWVFYWEhNCMGTPIzs6OevToQUeOHKHaycmkjI0lrlxefmMBovx8avPnn9RwyhTKz89X1/3PP//QyZMnqbi4mDZt2kTx8fEUGhqq7n8Oh0P0yy+klMuJr0d/mZiYUPe8PKLnv5H09HSKi4uj5ORk+svBQY+SX3L6+nU6t2oV+fr6kqenJwmFwnKv6d27N/366686CeaBAwfSjBkzNASznZ0dbd68mdatW0cdO3akAQMG0KRJk8jExESve3kVuVxOV69eVQvgCxcuqP8vFApJLBYTh8Mhh6ws8jdEhdbWhijlvab6zZg7dSLasUPvYjLc3en4+PFUu3ZtcnV1JQcHB+Jy9f3cVozFixdTQkICHT58mBxe/7gYYJZRSERt3N2pzf/+R127diV/f3+N2dbJkycpLCyMDh06RJ6enqWW06dPH/L29qavv/769RtQCeX8fN3bxOPRqf/9j5qtXk35+fm0ZMkSmjVrFrVo0YImT55MPj4+Fb1NunbtGoWEhNCBAwdoz549tHv3btq3bx85OjqSu7s7/ffff3Tw4EEyMjKi8+fPU5MmTUgmk5GJiQkVFRXRsGHDqFmzZhoDgoKCAho1ahQ9evSIfHx8aJKtLbXbtYuMlErild8knThkZUWjPTwIqiWpEtPZs2fJ09OTeDweFRYWUmZmpuoj6uBAxsbGBICKi4vp5s2bJBQKydTUlMzNzSkzM5PEYjHx+XxiGIYyMzOJiMje3p78i4tp88OHZFZO+0oij4g6CAR0msslhmGoqKiIABCXyyUjIyOt9jMMQ78RUW9DdFjv3pQybBjNmDGDTpw4QbGxsTRo0CCyWLKEmIkTiVdcXOmiFXw+/R0SQsusrSk9PZ2uXLlCzs7O5OvrS76+vuTj40O+vr7k7u5OxsbG6uvy8/PJ0dGRLly4QPb29mXXoVCQs7MzJScnk6+vr9b5e/fu0aBBg+pV6vEAACAASURBVOjq1av066+/UmBgYIXuIS8vjzIyMuja8eNkvnkzmV65Qszjx3Q3P59uWllRWmAgWdSuTUqlkrKysig9PZ1yc3OpZcuWFBISQl2vXSP7xYuJ84FoI98pb1dzXgUw0DrIRoEAHh4ecHV1hVgshkAggJeXl9padf78+di+fTvOnz9fquvEUtHBC9natWvh6OhYurtFQG8jNyY6GseOHcOoUaNQq1YtuLm5YezYsUhNTVWvuS5btgxeXl6lxt+9ceMGbGxstN1O6mEZX8zna1jG5+bmYtasWbC1tUXPnj1x4cKFCnX3n3/+ibZt22ocUygUOH78OHr37g1ra2uYm5ujVatWiIuLg6enJ/bt24e//voLTk5OMDU1Rf/+/XHixAl1vzx9+hTm5ua4ffs2toWFaUUqMkR6ooMVdIsWLbBnzx6N+5o9e7baOE2hUODAgQNo1qwZOnfurPaa1blz55fryM/L8ff3V/0RHa3X1qLCjh0xfPhwWFtbQyAQwNLSUtOP93Pu3r2LBg0a4JSjo0H6a49QCBsbG4wcORKZmZl4+vQpFi1ahBaenga3yi4qKkJ6ejrWr1+Pb775Bp07d4abmxsEAgH8/PzQs2dPfPfdd9i6dSu6dOmic7CKCRMmYMLAgaV+HxiGwapVqyCVSvHNN9+UuH0wOzsbBw4cwJIlSzBixAiEhoaiZs2aCDYxwV5LSxRxuVrRsQp5PBRwONjB5+PrNm2wcOFCpKenazqU+QDtd94V1W/GbIA1ZggE9F///rTV3Z1SUlIoNTWVsrKyyMPDg5ycnMjS0pIA0P379+natWt048YNkkgk5Orqqp5hv/qvRCJRzURTU4ni4oj+/FNV0attFApVr25YGB1p0YK6xMXRX3/9VeLIWU1qKlFISIVmpGpMTYkOHCB6vmYFgE6fPk2bNm2iTZs2kVwup65du1K3bt1o+fLllJOTQxs2bNBav4yNjSUjIyOKj4/XLL9LF6ItW1T3VEEYDoe40dEqVf0rPHv2jBYuXEhz5syhDh060KRJk8jd3b3c8ubPn0+XLl2iRYsWaZ3bsWMHLV68mNavX6+eUa9evZoKCgooMjKS7t+/T4GBgSQWi+nnn38mS0tL6tatG2VnZ9POnTspSiajaYcPk6mBf2aFXC7NtrSkuTweNW3alJo0aUJNmzalBg0akKnpy1X64cOHk7OzM40aNUrj+itXrtDAgQMpPz+foqKi6MKFC/To0SMaPHgwRURE0MiRI8nBwYHGPJ+5eHl5UV5eHt1ITSVOrVp6a2Km9O9P94no6tWrVLt2bfrll1808pw7d44iIiKob9++NOqff8h8y5ZK1/eC/TVq0NLgYEpLS6PLly+TQqEga2trCgoKovm3bpFHRgZxK/OcOByiEt7HksjPz6eMjAxKT09Xp5MnT9LDhw8pMDBQPcN+kWQy2cvfVGoq5X3zDfF27yYTgUBzZvrK94HGjaPbMhl98skndPXqVYqOjqZnz56p1dBKpZK8vLzIy8uLPD09ycvLixqePk3SmTOJCgqIU0YfgMMhjlBIlJBANHiwdgY9ftcV6ccPnnc7LngHvKFR3cOHD5GcnIzp06cjMjIS9vb2kEgkCA8Px8SJE7FixQokJiZi2bJlGDduHHr06IGgoCDY2NjAwsIC0xwdUcDj6ewB6qqufpDfgCMVhmHw77//YtKkSfD29oZMJoOtrS2GDBmi4dDi4cOHsLa21gjH+CafwQuePn2KadOmQSKRoG/fvmVrFaByjzl//vwSz23ZsgWdOnXSOLZr1y40bNgQP/30E1xdXdVBM2QyGQQCAQQCATgcDmrUqKFXlKGyUiGHAz97ewwePBgJCQmIjY1F48aNYWpqiqCgIAwfPhzr169HfHx8qb6WlUolfvrpJwiFQrRs2RKtWrVSu35csGABBg0aBOClD3JnZ2dkjhih97NTCgTInTxZHWbz9cAXe/bsgVQqRXx8PHr37o0xRHprHBiBACf/9z80bdoUjo6OmDJlCs6cOYMDBw5g6dKlGNKgAXIrW76evg0UCgUcHBywZs0aLF26FMOHD0fr1q1ha2sLkUiEZs2aYXVwMIqNjXVyrJLP4eALY2PIZDJ4e3tDKBQiLCwMycnJuHv3rlrLwjAMrly5gsMxMdoW9ZX9RnygPiLeNvSuG/BOeAv7mBmGwa1bt5CYmIhx48ahTZs2EIlEcHZ2Rvfu3TFr1iz8/fffyMnJ+T971x0WxdV+39neKFtYehEEKUpTUBAUELCBoqhgkGiMsUQxJnbRWIgoGhO7RqPG3hsYMNiNJRZijMZgQWOvEQud3T2/P4CNK6iwi1+e3/dxnuc+6OzOnTuzM/Pe+5ZzUDhnDlR1fNmpBAIU1tL9VTB7NgqJ3m0g9KQevXTpEkaOHAkOhwOpVIrBgwdj//79mDJlCj766KPqO/yH6h3z8/MxefJkyOVyDBgwADdu3Kjxe2FhYTp1ta9ix44d6Nq1K549e4YjR45g3rx56NOnD1gsFgQCASwsLNC4cWMMHz4cH3/8MYKDgyGRSMBmsxHl749iAw3K2+7BixcvYuzYsbCxsYGXlxe+/vpr5OXl4dixY5g1axZiYmIgk8nA5XLRq1cvfPvttzh16lQ192ZsbCyaNWsGkUiE7777DgCwZ88eraLUuHHjMGbMGIwbNw457u71cg6/eXoiIiKiGtvaokWLYGxsDFdXV/D5fDAMAzMilLBYBh2vmAg9K+k/y8vLtccrLS3FwIED4e7ujodTp9aZwKSMx8OVL77Ao0o3sr4YNWoUxo8fX237o0ePcHnECJRxuXUal0Yo1D7Hd+/eRefOneHp6Yldu3Zh2bJlSEhIgLW1NToqFHU3ylXtDYb0zMcf681o14AK0L89gH8F/9KsTq1WIzc3F2vXrkVSUhJatWqFID4fRXpOEgqI0M7EBP7+/oiPj0dycjJWrFiBw4cP49atW9r4T1JSEmbExhrE11sb/PTTT9q6Sl9fXzAMg9jYWGRmZuoag/9wvePff/+tJasYNGgQbt26pfO5tbW11mhXTagyMjKQkpKCli1bQiQSQSwWo1WrVhgyZAi+++47eHl5Yffu3di4cSN69eql09+PP/4IZ2dnpAcHo/g9rJY1r92DarUaBw8exEcffaStvV6zZg1evnyJoqIi8Hg8rFixAoMHD4anpyfEYjGCg4MxduxY7N69G61atcLBgwfh5OQEqVSKMWPGICcnBy4uLlCr1bCxscGFCxdw/vx57DN0QlXZ9vJ4aNu2LVauXAmNRoPDhw+jadOmYBgGpqamYLPZEAqFkEgkFcpQhgilEOFlZGS1++LBgwdo3bo1unbtqs2RuD95csXzWAt1qVIuFyv9/dGyZUuYmprC1NQU/v7+6NOnD1JSUrB582acO3euVnXKv/32G3ysrfEsORn3w8Nxo2lTnHJxwQ4bG73JT8p5PBxIS8P8+fPRu3dvmJqagsViwdPTE0uXLsXVq1ehiYmp10XKb7/9BoVCgZvjx/9X6hD8p/C/F2Ough4ZwRCJiHlTbEVPqLt2JVZGxlvjOm8cD8NQaadOdC45ma5fv055eXk6f58+fUoWFhZ07949SkxMpKZNm5KbQkFe586R4v594rx8WVGa0KwZUb9+RGZmBp/P9OnTKTMzk+Lj4yk9PZ06duxI27Zto9zcXIqOjqYePXpQpyVLiF0VRzcEdax3fPLkCc2ZM4eWLVtGvXv3ptGjR9OjR4+odevWNHz4cDp//jz99ttvxGKxyMfHh7y9vamkpIQuX75Me/bs0am9nTx5MpWWllJ4eDjNnDmT9u/fr/1sxIgRpFAoaGJubr3Ukr+KYhaLtvj5UcKxY8ThVK92LC4upvT0dFq7di0dO3aMoqOj6eeff6atW7eSn58fERG9ePGCTp06RSdPnqQTJ05QdnY22dvb0/Pnz6lv37506dIlunbtGt25c4c2bdpEY8aMoY8++ohOnTpFvTIyKKEeXhn7LCworrSUhg4dSitXrqTHjx+TSqUiX19fys/P15ZT7dmzh5o0aUJ05gypg4OJXVpa94O9li9BRJSTk0PdunWjjz76iCZPnqytqMjOzqadycm0xM6OKDOzIu5ZXKzdT8XjkVqlIn5MDNH48To5GE+ePKErV65o2+XLl+nKlSuUl5dHCoWCXFxcyMXFhRo3bkympqakVqvp6dOnVHb8OLU5fpxa5ucT0T8lgkQV+RQMQNUrz98NNRGlMwz1YBhSKBTk5eVFbm5udPToUSouLqZN8+eTd9euhpWPCgREt24RmZnR33//TX5+fjR9+nTq3bs30dmzFTkzNVxHbUy8Uyed69iASvzLE4N/F3Xgdi5msbC7Y8f6Pf57jrUWFBQgICAAAwYMwLfffoukpCR06tQJrq6uEAgEsLS0RFBQED788ENMnToVa9euxYkTJ/DgwYPau+VeyyDXJCRgpasrGkkkOhzXd+7cwfz589G2bVtsqqNb7o2tDgxBL1++xIkTJ7Bo0SL06dMHFhYWIKrQ9jUyMkJqaioyMzOryT5u2LABcXFx1fo7cuQI/Pz8cO7cOXh5eWm3azQaODg44Pz58/XGvgYiqIigFgpRMneuloXtXVzJDx8+xPz58yGTyWBiYoIvvvgCv/76q85vW1JSAj6fj99++w0WFhYICgqCQqEAm80GEYGIYG5ujmHDhmHTpk1IDwpCqb6uz8pWRITJIpF2VSwQCODl5aXlgW7cuDEiIiLw9OlT7Th///13jJJIoOLz63a8GlZj69evh0KhwLZt26pds+XLl6Nfv34V/3lFdAJRUUBiIspTU+EilepwlL8JxcXFOH/+PDZs2IDhw4ejTZs2sLS0BJvN1uYiDKnMGVHV031S0/uh7O5dXLp0CVu2bMGXX36J7t27w9zcHKMqfwuD+q8MKZWXlyMsLKxmDfAariNmzWrIvn4L/rcNM1BrSbYne/fCxsYGu3btqr9j10OstYTFQnZkJLKysvDkyROd7tPT0+Hq6lqjWo9arcbt27dx+PBhrFy5EsnJyYiPj4e/vz/kcjkkEgk8PT0RExODkSNHYtGiRdi7dy+uXLlS4ZZ+i451OZeLIiLcbN68Rh3r5xMnotxA41zCZuPxmDE1Xtb79+8jKysLM2bMQK9eveDi4qJNihowYAAWLVqE48eP4+rVq+jYsSO4XC6++OKLGvm/165diw8++KDa9pKSEkgkEly4cAHW1tba7efPn4eDg0OF8asnl305EX5WKvFZ69bQaDQoLS1FXFwcQkJCtNrMb8OsWbOQmJiIiRMnwsHBAR4eHpg+fTqysrKQkpICIyMjeHl5gWEYeHh4YPDgwZg3bx5sbW3BYrHA4/EgEAjg6emJgTExBsfNi4hgRoRu3brB1tYW48aNw4IFCyCXy2FpaYnPP/9cJw5869Yt2NraYtGiRdgSFoZCololSRazWDpGWaVSYcyYMWjUqFHFxKkGTJw4EZMnT37r9fz0008xbdo07aS0tGdP/N26Na62aoWMNm3QOzwcjo6OEAgEcHd3R/fu3ZGcnIx169YhJyfnH9f24sUVseD3ZZRfMZw14XmXLvVzjMREfP7554iMjKy1mlkD3o4Gw1yFWszqTp48CTMzM1y+fLl+jllPL+6z7u4IDQ2FkZERHB0dERcXh7S0NFhbW+s9kXj27Bl+/fVXbNu2DWlpaRg0aBDCK184Q9lsFDLMO1+OKqrIwH19xXJ6zx6D60aLiGDN46FZs2YYPHgwvvjiC3To0AHm5uaQyWRo164dRo4cibVr1+LixYs6L/pXMWXKFCQlJSEpKQkymQxjxozB48ePtZ+vXr36jVnNERER2Lx5M/h8vnYVOm3aNHz22WfIz8/H5ubNDV6RlBIh5ZXVq6enJ5KTk7FlyxYkJCSgefPmePSOlcdPP/0EPz8/rFu3DsOHD0fTpk3B4XDAYrEglUphYWGBAwcOwNraWif+HhgYCE9PT/z000+ws7ND586dkZqaigwuV+8VnooIJ62s0Lx5cyiVSixZsgT9+/eHvb09ZDIZVqxYoTP2/Px8ODs7o2XLlpBKpUhISMCEyEjs5nJRymJB9TrneOVk+k7LlhgVEqLt5+nTp+jQoQNCQ0N1ft/XkZiYiJUrV1bbrtFocOfOHezbtw9zExKQzuGghGGq/b5lHA5UXC5ehIej/E0qbIBheS56GM4aUU8enVve3nBycqqxFr0B+qHBMNcRS5cuhbu7u5ZM3iDU04ORTgQTExM0btwYfn5+aNmyJSwsLCAQCMDlcmFvb4+oqChMmzYNR44cqZVm8RuxeHHdM1e5XOSOGIFDhw6hW7dusLOzw83mzfUuI1IRIUssBhGBYRgIBALweDyEhYVh69atuqQHNeEV93uOlRWuBQQAaWm4+9tvGDJkCGQyGcaPH48nT55g5cqV6Nu3b43dzEtOxq7AQGxgs1HeoQOQkIC51tb4dsIE2NjYYEy/ftDU1fX6WivncODfqBGISOteDgwMRPv27WFubg6hUAiRSIQhQ4Zgy5YtyMvLw+3bt7Fz505MmDAB4eHhMDEx0SbizZw5EwcPHsTz589RXFyMgQMHwt7eHiYmJuDz+Vi7dq3Ww+Lo6IjY2FgAFaGAKknJ4QEBepcvFTEMYmxsYGxsjI0bN8Lf3x+enp4wNzfHsWPHdK5vTk4OzM3NwefzER0dDV9fX9jb2yM1NbXCu1E5mc6PjsYBsVhnMr106VIMGDAAQEXVgLOzM4YPH16j9+hVtGnTBj/88AN27dqFGTNm4MMPP9TKiZqbm2OOszNKOJx3T0zeldTUrdt7KaOrsUVF1TyGeloYbObzceHChbde1wbUDQ2GuY7QaDTo378/evbsaVB5BIB6ezB+cXFBWFgY7OzswOVyIZfLwWKx4O7uDj8/P7i7u8Pa2hoSiUSrqcvj8aBUKnXc1bNmzcIPP/yAzMxMnD17Fjdv3tSNYxowyy8kgh/DgM1mV5QXBQSg5DV2obq83HO++w4bNmyAQqHQuidtbGxgbW2NRo0aYdq0af8oE706/je4319VQrq3ezcGDhwImUyGqKgoJCQk1NiPmserlnVdSBWlOY+Cgv45nr7ZxK9kvWZkZIDNZoPD4Wj/RkRE4Msvv0Tbtm3B5/OhUCjAYrHAMAxkMhkCAgIwevRonDhxAhYWFjXGRceOHYvp06fjyZMnEAgE8PPzg1KpRP/+/SEQCNC7d2/tdy9fvoy2bduCzWZjCMNAXUc3rIYIZUTYQYT0SZNgaWkJHx8feHl56fxWp0+fRteuXcHj8SCXyyGVStGpUydkZGTU6Cq9d+8ezM3NdbZ99dVXGDduHDIyMqBQKHRX4g8fovSrr/B3x4647eODc02bYk3Tpmjt4gKGYWBra4vOnTtj1KhR+P7773H8+PGKeLcenABlPB4yu3RBUlISevTogaCgIPg7OLyfMro3tddWzCqVCgcPHsQ2f3+DPTpFRDjfoAZV72gwzHqguLgYLVq0wOzZsw3r6D3U85aVlaFnz57o3r075s+fj+HDh6Njx45wdnYGn8+Hvb09goODER4ejqCgILi5ucHU1BQCgQB2dnZo2rQpvL294eHhARsbG/B4PBgZGcHJyQmHpFK9qRhVRCjp3BnFxcW4dOkS9uzZg/09etS5hrKACIOJ0KdPH9y9exc7duyAubk5cnJykJ6eriVmqCphCQ8Px/r161E6b16dyzeuX7+OwMBA8Pl8TJkyBc+ePat1wqC2nzFjDJrMXN+yRfvbzp8/X5u0JhaLwTAMWCwWuFwuJBIJeDweUlJScOvWLWRmZiIlJQXdunWDj7U1xjAM0k1McNHREdcDA/Fw5EioHzxAr169sGHDBgAVEpaFhYW4du0aIiMjIRKJIBQKMXbsWCQmJkIul2PGjBn4+++/YWNjg8/4fBSxWHV2a6sqf8dxpqbo0qULCgoKoNFocOjQIbRr1w5yuRwymQwcDgcjR47E9evX3/oYFRUVgc/n62z77LPP0LFjR1hYWGDJkiVYtmwZvundG8eUShRT9aSnch4Pah4POxkGpa+t3DUaDZ7t21cRltHjdyzlcLDhiy+wfv16LF26FHvatjW4Lruu7we1Wo2jR49i6NChUCqVsLGxgYupqcEhpTI2uyGJ6z2A/u0B/H/FX3/9BXNzcxw4cED/Tt5DVvbZs2dhbm5eYUReQ3l5Oa5du4asrCwsWLAAw4cPR6dOneDs7AwejwczMzM0atQItra2EIvFkEqlCAsLw7hx47Bx3jyoDEzYKmWxMLZ/f8TGxqJ58+YwMjLCOFPTWjGeVb3Mx5qYwMTEBFwuF1wuF66urujWrRsUCgV+//13ABW1lP369dMa5tmOjnV3vVYa58WLFyM+Ph59+/bFSLEYpXW9BiIREB9fZ+NczuNhT1QUzMzM0KdPH3h5eUEgEMDIyAi2trZQKpUQi8WwtLREQEAANm/ejLi4OHA4HIjFYsTGxmL3xIko6tABEAiqZVIXMQyKibCbzcb48HCsXr0aDMNowxyenp5YvXo1xGKxNoO4VatWWLJkCdatWwcHBwcQEZoTYRsRVCwWNHW8xoUMg8/4fNjY2EAul0MkEsHIyAiNGjWCpaUl7t69W6vHSKVSgcfjIT09Hd9++y0++ugj8Pl8sFgsGBkZoVWrVlgdEIAyLrfCC/GO+6yEw8GiZs3g7+8POzs78Hg8g+LqaiIcrkyotLOzQ7a5uWHPfF2OzeNhwiefwMrKCi4uLlq3fO/evXH8+HGD6pjVRNB066b/+68BbwT92wP4/4x9+/bBwsKiGmFFnVCPLGQajQatW7fG8uXL6zyM8vJy5OXlYe/evVi4cCGGDx+O0NBQbXnHODbbYFrEQiJMNTKCg4MDrK2tYWxsDC6Xiw4KBfaZmKCExaq2gq5ayRS0b48ne/ciLS0NAQEBmDRpEhQKBWQyGSQSCaqSo2xsbNCzZ09Mnz4dS5cuxVcxMfqPWyTC5tGjMWTIEOD0ab1XTBCJgLFja7XSrqJUHFR5Lh4eHmjcuDF+/vlnFBcX4/r165DL5XBycsL333+Pfv36wcjICGKxGNOmTUN2djbkcjk2hYSghM1+pzFRUcWK7jsfH1StxD09PcHn87Wx6d9++w0XL15EmzZttHFusVgMFouFxo0bI1gg0PsaFzIMgoVC8Hg8uLi4QC6Xg2EYtG3bFikpKdi/f7+W/KO0tBR//PEHtm/fjq+++goJCQnw9fXVjiUoKAiJiYmwtLSEqakpRowYgZUrVyKra1eU1jFsUs7nI2/0aNy4cQMF168bnCtQTIQIb29ERUXh13oS5XhXUxFhF5uN6Oho+Pn5wdLSElOmTNEtCTQgPKURChsoNN8T6N8ewP93pKWlwc/P7501pW9EPbKQbdy4ET4+PvVeslBeXo4XXbvWy8si3dQUjx8/1iZolZSU4Pbt28jJycH+jRtxJi4OF3198YeTE445OuJ7V1eEe3nBzs5Om+QlFArh7++PDh06wNbWFg4ODpgyZQratWsHLpcLoVAIhUIBd3d3ZEsk+teIMgyuenpi2LBh9TOBOnMGmm7dUFJZu6pjoKjCo5Dr4YEzS5Zg//79MDMzw8GDB9GlSxd88skn2pyGBQsWwMPDA7a2tigoKEBOTg78/f21q80TH35YZ0OpEYmQxOFg69atMKn0SoSGhmpzEogIAoEAkZGR2LlzJ+Li4sBms8EwDPaKRO9cib7NeOR5e+PFixc4fvw4zMzMsHPnTqSlpaFTp06wsbEBm80Gj8fTZpE3bdoUoaGh6NSpEzp37ox27dqBz+fD2NgYVbXpAoEALVu2xJTOnetslLW/CcMgRCLBmBqyr+va1AIBTvXsib59+2KHWFwvz9K7WgmHg7ZiMTgcDhITE1FYWFjzA65H7LymaosG1B/+d5m/6gkAqGfPniSTyWjZsmX6daIHCxmJRDoKL0VFReTm5kbr1q2j4OBg/cbxNtSTjvUehqEYFovUarVW+1csFpNEInnnv8ViMV26dIkOHz5Mn3zyCZWUlFBBQQFlZGTQ7du3KSAggG7cuEFXrlwhsVhM/OfP6S/SZVKqK1QcDs2Kj6cJ27YZxJCk4nCof3g4/Xj6NHHy86kfw1B7S0tyt7IijbExrb9wgUZfvKjDvnbgwAHq3bs3bdu2jYYNG0Yff/wxffbZZ6TRaCgkJIQKCwupffv2lJqaSgBox44d9N2AAbTz2TO9tZITbW0p++lTcnBwoNzcXAJALVq0oEGDBtGLFy8oJyeHjh07Rn/99ReZm5uT5uFDus0wxDfgNVLOZlMPf3/68fRp4vP5VFZWRmKxmDgcDqnVaiooKCAul0tisZgAUEFBgVZT2sbGhqysrCgrK4tKS0upffv2ZGxsTNu3b6cmTZrQrGvXKKygQC8NbDAMlXXuTFxjY2Jt2KD3+VXhqIMDXRo7lrpdvUpmixYRSx8Ws1qiiIi2BQRQ04ULSSKR0NChQ+nx48e0dOlSatWqVfUdqt5BxZVpaW+AmojKGIaeTZpEllOnvrfx/8/j35wV/LfgxYsXcHNzw7Jly/TvpK5JRa/NVqdMmVKNs7leUU8Z5PusrMDj8cDhcGBtbY3WrVsjLi4OI0aMQGpqKr6rzLZevXo1Fi9ejFmzZuHLL7/EyJEjMWjQIISGhsLMzAzh4eFo1aoVmjVrBgcHB20yFBFpV1dfGRsbzFVdSIQ9ZDhDUjnD4G8HBxwQiXCycWOMY7Hw8OJFAMDcuXMxaNCgGi/7zp07YW5urg2bZGZmAgCuXLkCqVQKqVSqoz+t6tLFoAS97VSxOvb29sbWrVvxySefYNGiRdr+nz59CgcHB6xbtw5du3bFaKJ6ucajGQYKhQLNmjVDixYt4OvrC09PT7i6usLe3h4KhQICgQBsNhtisRgKhQIKhULLq01UsaK3t7eHr68v2Gw2+kRGorQexC/21VNZtZCmkgAAIABJREFUkyYqCllZWfggPPy9ZWWrqKI88cVrpCIajQYbNmyApaUlBg4cWHPN8VvIljRCIUoYBn+6u2PLmDGQy+WYNWtWA6HIe0LDirmekJubS8HBwfTjjz+Sv7+/fp3oyS1769Yt8vHxoV9//ZXs7e0NPJM3oB50rEkoJJo6lXKjoyk4OJhWrFhBQqGQrl27RlevXtX+vXHjBpmZmVHjxo3J2dlZ5+/t27dp9uzZdOjQoWrdb9myhYYNG0bLli2jvLw8sp84kXoYMt5K5BGRk8G96KKIiFhEdJDPp1SA/hCJSCzWXedW6fAWFhbSixcvyMTEhJ49e0ZKpZI4HA69fPmSCgoKiM1mk5mZGSk0Gvrl/n0SGDCuYiJyYBh6BGi5uBmGIaFQSGq1mkoqryfDMKRSqWgNESUacLwqrGOx6DNTU+LxeMTj8YjP5xOfzyeBQEBCoZBEIhGJRCISCoXE4/GIy+VSWVkZZWdnk0gkIoZhyMLCgvh8Pt2+fZuuXLlCXwqFNL6khAQGvOKKGYYeyWRk//ffBp/jTomEpjVuTElJSfThrl3E2bOn4pmuI0BExGIRo9Fot5WwWMRls4mJiiLWhAlv5J5+9uwZTZw4kbZv305paWmUmJhYTUOdHj8m+uEHogsXiPLzCaamtOXPPynb2pq+37WLGIah69ev08cff0ylpaW0atWqCj7zBtQbGgxzPWLnzp302Wef0dmzZ0mpVOrf0SsPxo1z5+hhaSm1+uSTNwpN9O7dm1xcXGjqe3Qt4eFD0tjaEru8XP9OXiG83759O40cOZLOnj1LCoVC52tqtZpu376tY7Cr/p2Xl0dERIGBgdUMt5OTE/3666/Uo0cPSk1NpbC5c8nhwgVDTpuIiB4QkYXBvdQMNRGVENEoIlrB5RKbzSaGYYjNZhObzSYWi0VsNptKS0upqKiIJBIJFRYWkqWlJXE4HLp37x6pVCpSKpX0eXk5Dfv7bxIa8EgXEdFkIvq6lt9PJ6JovY/2D640aUK7+vcnDodTrXG53Grbbty4QV999RV17NiR+vfvT99++y25urpSXFwc5efnU69evei8pydZ1zCBqyvKmjYl+vNP4qnVevdRymbT/UGDyH7hwgpDeOYMUUhI3cJXlVDzePSTvT29uHmTpETk7OdHjl271kmI5syZMzR48GAyNjamxYsXk5ub2xu/u2DBAlq+fDmdPHlSZ/Ko0Who8eLFNGXKFBo/fjyNGDFCR+ilAfqjwTDXM5KTk+nkyZOUnZ1do/pPXbF3716aM2cO7du3r8bPjx07Rr1796bc3NxqK676wrFjx2jUqFGUmptLIS9eEEufW4ZhiLp1I9q+XbtpzJgxdP78ecrMzKz1A338+HEaOnQozZkzR2eVfe3aNbp+/TrJ5XKytramP//8k7aLRBTx8GHdx/oaHkskZFZQYHA/b0MZl0uZoaG0r3FjKiwspJcvX1JhYSEVFRVRUVERlZSU0P379+nFixfa1SKfz6fy8nIqr5ws1dfqdQufT+OsrEgmkxGPx6PLly9T27ZtKTMzkxwcHOjWrVsEgMLDwyn+xx/rRW3qqL097enVi1QqFZWXl5NKpXpju3nzJl28eJFcXV1JLpeTSqWi69evE8MwZGZmRgUFBXTr1i3K5HConR6G73X8RERtiQzyRLw6KdVCj9ySYoahGQoFyZOTqV+/fhQbG0tjx46liIiIOg9JrVbT4sWLadq0aTRo0CBKTk4moVA3I+Pw4cMUFxdHJ0+eJEdHxxr7ycvLo/79+5NKpaJVq1aRi4tLncfSgNfwL7rR/yuhUqkQGRmJUaNG1Ut/ly9fRqNGjWr8TK1Ww9fXF+vXr6+XY72O3NxcxMTEwM7ODmvXroX6l1/0ziAv4/GqlVaUl5cjJCQEEydOrPWYcnJy4OPjU+NnKpUKN2/exP79+zF79mxMlUgMjg0XEiGDSG/N7Dq1d2h9azQajBo1Cn5+fujYsaM2U3vKlCmQyWT42dS0fsbxCoXjkydPYGxsDBsbG218OysrC9bW1ujZsydGV14jg+KiPB4mi8XvJBKpSYSitLQUV69exUcffYTIyEiMHj0abdq0gUQiwUY9s7Ffbxs4HPzq4KA/hWYNusVV+Hv6dJTVokZaRYRiNhsXhw3ToZyNjo42WFjn7t27iIuLQ6NGjfDjjz9qt//111+wsLDAvn373tmHWq3GvHnzIJfL8c033zTEng1Eg2F+D3jy5AkcHBywefNmg/sqLS0Fj8erkeN3xYoVCAwMNJwa9DU8fPgQn376KRQKBdLS0nRKwVQLF6Kojgk15Xw+JpmZISkpqdp5PHjwADY2NkhPT6/V2H7//Xd4eHjU6ruFN24YnPxTymLBVyg0XB6vFk3DMFDHxNR4Lmq1Gjdv3sSWLVvg4eEBExMTrRAFUUXC1pr6GssrFIvl5eVgs9n4/PPPtdt69eqF+fPnY+rUqbBksw1OZCrncDBv4kR4e3ujqKhI57w1Gg2ePHmCAwcOwMvLC46OjujTpw9CQ0Nhb28PHo8HBwcHNGnSBK6urpgxYwZGjBiB0NBQFE6eDI2BBD5FRNgTEoILK1fWmSNe216bcN29exfz5s1DYGAg5HI5pnXpggetW1eM9bWkq6oyupeRkTVO2uLj4+ttYv7TTz/ByckJsbGxuHLlCry9vfHNN9/UqY+rV68iODgYQUFBuHr1ar2M638RDYb5PSEnJwcKhQIXKzNvDYG9vT2uXbums+358+ewsLDAmXos8C8sLERKSgrkcjlGjBhRTUYSAJKTkzHX1bXiJVWLDPIyHg8TFQpcvXr1jeo+J06cgJmZWa0e5D///BMuLi61Pid1164GZSlvowqhjN21IOuoj1ZMhOhWrRAXF4eYmBg0b95cy4Fd1UQiETgcDqhybLa2tpDL5RhFhq9ey3k8qGbO1F6/KVOmQCwW49SpUwAqeKlNTU21cpF8Ph/HlEq9r42GYfCLtTVkMhkcHR3h5+eHUaNGoXv37vD29oaxsbH2OI0bN8bIkSOxdOlSZGdn49q1a9qJ3qu62YsXL8bAgQOBhw8NNswqLhcTPvkETZs2xQiBAMV11aKurKB48OABFi5ciDZt2kAqlaJv37748ccfdQRlXl6/jmMxMdhlbIxDEgkut2yJrf7+mD9p0hvv7/79++tFKPQmFBUVYdKkSeDxeGjevPk7RT9qglqtxty5cyGXyzF37tw6icogKqrib1ra/zTVZ4Nhfo/44Ycf4OzsXCM9Zl0QGhqK7OxsnW2jR4/GRx99ZFC/VVCpVFixYgWsra0RFxdXbRJQhb1798La2hoPHz6stY41zpzBhAkTEBAQgJcvX2pdkVX0mVVYtGgRmjVr9mYShEpcu3btja79GmGI8AbDoDWfj/bt2+PUwoUV7vj3bJgLiTCSSGt02Ww2JBKJtoWHh6NPnz7o3LkzeDyeluTDwsICMYGBBq9eSxgG3tbWmDFjBrZt2wZLS0t06NABW7duBQBMmjRJK4oiFApha2uLBBeXOnOev3qNW1WWzikUCjAMg2bNmmHdunU4c+aMVqjkdTnI15GZmYn27dtDpVJhyJAhiIiIQGxsLPbweAYRzLzqgs7JycEST08UENVKXUojFOJI794ICwuDqakpEhISkJ6ejpKSEp2x5+bmIikpCVKpFLGxsTh8+LDWC7Zr1y6Eh4e/8byTkpIwd+7c2j8PtcCsWbPg4eGB0NBQeHl54ZdfftGrnytXrqB169YIDg6uedJdS1GZmjTd/9vRYJjfM4YOHYouXbq8e9b4FgwYMABLlizR/v/KlSuQy+W4f/++QWPTaDTIzMxE06ZNERwc/NYH8M6dO7CwsMDhw4d1P6iFjrVarUZ8fDx69uwJtVqN9evXQ6FQYNu2bTpjSUxMRJ8+fd7qmr958yZsbGzqdqJ6MBsVEGE4j4c2bdpg+vTpevejT9vI5YKIwOFw0LhxY4SEhKBZs2bg8/lgGAYSiURbw2xlZQV/f384OTnh/v37+EksNkgr+UeBAOHh4ejcuTMYhkFkZCQ++OADzJo1C0+ePAGPx4O5uTmcnJwglUrRokULFBUV4VhCAgrqeLwCIowxMkJ6erpWL3vnzp1a3vZu3brBysoKJ96ia1xaWoqTJ0/i008/hampKUxNTSGVStGqVSusW7cO99PTDaJS1Zw+jUOHDiE2NhZSqRRJSUm4sXUr0L071Hw+yl/jTi8kQimbjcNyOdqKxYiLi8OOHTuquehVKhUyMjIQGRkJpVKJCRMm1Ejt++zZM0gkkmr7V2HcuHH/3J/1gL1798LS0hK3bt2CRqPB+vXrYWlpicGDB1cobNURKpUK33zzDRQKBebPn//Pe9BA3ob/djQY5veM0tJSBAYGIiUlRe8+UlNTdZLJunTpgpmvuBv1wa+//op27dqhSZMm2LVr11uNYXl5Odq0aYOvvvpK7+MVFxcjKCgIY8aMAVAhtmFra4svv/xS+7AWFhbC09MTCxcufGM/NUn81QqVL4J3JfBUJdk8mDIFN2/ehJmZGfz8/P5xOS5ejFIuV2/3eG3aHhYLxsbGaNmyJaytrcFiscBms7Wayb6+vmjVqhVMTEzg4eEBpVIJV1dXBAUF4eKqVXU2kK8alRtbt2Ly5MngcDjw9/fH5MmTIZVKIZPJYGJiAjabDRcXF4hEIkilUnh4eMDOzg5MJb93EYv1zmujYRgUMgyG83hwc3ODQCCAVCpFfHw81qxZg+XLl4PP52tFH3744Qet4S4sLMTBgwcxZcoUhIWFQSKRwNvbG3369IGVlRUePHiAhIQEraJUUFAQRkkkdZYY1QiFOBIfDw8PD7i5uWHRokVazm4tKielJXFxuOnlhSwzM4wkgmulYEWTJk3w6aefYvv27VpCj6dPn+Lrr7+Go6MjWrRogdWrV7+TzjcwMLCax6wK06ZNQ3Jyct2fhxpw9epVKJVKHD16VGd7fn4+Pv30U1hYWGDt2rV65bRcvnwZgYGBaNu2LR5Nm1b3Ce7/mHFuMMz/Ady9exdWVlbIysrSa//Nmzeje6VLrSpB43V3WG1x8+ZNJCYmauXwahNDSk5ORkRERN1X/a/Fjop79ECaXI4fKuUy79+/j8DAQHTt2lX70rt27RrMzMxw/PjxGrt8/PgxZDJZ3cZRib9/+gknraxQXAP3cSFVMFjdDwyscNNXjv2UiwsOSiT4SanEjU8/xdpvvkEAl4uDMhmKyfCYbk1tY6WLuspVXaWtnZiYiJCQEBgbGyM2NhZr1qzBvn37MH78eAiFQjAMA3Nzc8x0cKizcS7jcpFibQ2lUol27drBxcVFu0o3MTFBVYIZEYHNZqNLly6wt7fHvHnz0LdvXxgbGyMiIgLLBg4EundHCcOg/HXX/yshjs2jRyMgIABWVlYYMWIEGjVqhLS0NHTo0AEsFgtCoRB2dnaYPXs23N3dIZPJtBOCVq1aYcyYMdizZw/y8/MBVEzYlEol9uzZAwsLC4hEogqFrd27K+7xxYuh4vNrNWko5XDwhUiEmJgY7N+/v0ZD9Pz5c6xduxbR0dEwNjZGTEwMNmzYgOTkZAwdOhQqlQo5OTmYPXs2OnToALFYDLlcDj6fj5CQEBw8eLDWBm7y5MkYPXp0jZ/NmTMHI0aM0Ot5eBUvXryAu7s7Fr/F+J06dQo+Pj4IDQ3VYZurLVQqFdYOH26QqMz/imhGg2H+D+Ho0aNQKpXIy8ur875nz56Fl5cXysrK4O7urld5RH5+PsaMGQOZTIZJkyZVn/2/ATpx5driLbEjtUCAYqIKA3j6NEpKSjBgwAB4eHhoY9sZGRmwsbHBgwcPqnX97NkzGBkZ1X4sqHCTb968GUqlEp07d0agszPmWFpip5ERsjgcrCHCBB4PuT//jPzsbDwODkY5h1MtblpIFVm6OxkGcY6O6B8djYMdO+JWSAgyWCxofHygMbBEp4hhMLVSLYvNZoPP50MqlcLZ2RmmpqYYMmQI9u/fj5UrVyIqKgpGRkbo2LEj0tLSYGVlBYVCgZCQEAymCldxbeU0R4pEYLFYMDU1BREhKCgIM2bMQL9+/bRUpxwOB02aNEHfvn0hlUohEAgwbtw4reDF8ePH4erqijNnzsDHxgblM2bgkK0tjstkyLaw0AlxvHjxQnsvuru7IzU1FWZmZpDJZPjwww/RrVs38Hg8EBG4XK5WCtLV1RU7duzQGjWNRoNz584hKSkJRISAgIAKacVXVphHjhypcM+bm+Oatzc0fH6Nv20Ji4UMHg8L+vbFX3/9Ve0+evnyJTZu3IiYmBgYGxsjKioKa9euxfPnz7XfuXHjBuRyOUpKSlBWVoYtW7agTZs2sLS0xMcff4zRo0ejbdu2EIvFaN26NSZNmoTDhw+/daJ97NgxeHt71/jZkiVL8Mknn9TpeXgdarUaMTExOkIpb0J5eTnmzZsHhUKB5OTkN7rY34hu3d5L2dl/GxoM838Q8+fPh5eX1zsTnF7H06dPIZFIMG/ePLRr165OrqTS0lJ8++23MDMzw4ABA2qtcQu8Ja78NtQydqSifxRqNBoNFi1aBKVSqa2ZnDRpEtq2bat1YQIAHj5E6VdfYT2LVevszQcPHiAmJgYWFhawtrZGmzZtkJGRgalTp8LIyAhGRkbgcrlgGAZDGKZWiT3qyrhXydy5OHLkCGbOnAkiQmNjY4PLqoqIoGQYBAUF4ejRo9iwYQM6d+4MoVAIFosFiUQCoVAIKysrfPbZZ/jjjz+wadMm9OrVCxKJBBwOBxwOp8IFzzDYV8kXXqOaFZuNLLEYoUZGmDp1KuLi4qBUKrF69WrY29sjIiICIpEI1tbWIKrgIG/Tpg1ycnLw5MkT7WqexWIhNTUVL1++hL29PWJiYpCamoqkpCSEhobi0qVLsLW1rfbbfP755xg8eDAiIiJgYmKiLf0KDAxEamoqMjMz4eDggPnz52Px4sWIioqCUCiEWCyGubk5YmJi0KxZM9jb22PixIngcrkoLi7WVjFkZ2cjODhYK5GpDUc8eoSVbm7Ia90a19zdsV0iwSgirJ87t5pbubCwEFu3bkWPHj1gbGyMDh06YNWqVW+NtwYGBiI+Ph7W1tYIDg7G5s2bq3mmCgsLkZ2djbFjx8LPzw8SiQQRERGYMWMGTp8+rVMHXFZWBhMTkxonx2vWrEFCQsIbx1IbTJs2DQEBAXXywt29exe9evWCo6Nj7T2B70F//r8VDYb5PwiNRoOEhIR3JjjVBFNTU8jlcly4cKHWx9q8eTMcHR3RqVOnWu9XBb3iyvrIxwmF2tjRoUOHYGFhgW+//Rbl5eVo3759RWz9lRV4tfKXN2RvVhl7YaXWr5mZmVbs4lWXrFKphIWFBT6tNMp1GXsBEVLt7BAWFgYiQvPmzXG3ZUuDkq92sliQy+VaYQYTExOMHTsWRUVFWLNmDezs7ODk5IRmzZppz4XL5WqTwV6ta+bxeGAYBvMmTsSdAQNQ5OaGR3w+7rJYOEuENIEAlhwOXFxc0LFjRyiVSsyZMwcqlQq9e/cGwzDa+DIR4ZdffsHSpUthbm6O7t27g8fjwcbGBkOHDkXXrl0hk8ng4+MDHo+HyZMno2nTpsjPz4dKpYJQKMTz589x9epVrFixAv369YOtrS0YhoGdnR14PB7CwsKwdetWmJmZ4dChQwAqciGqyg4LCwuxatUq+Pr6gsPhaLPWO3TogO3bt0OhUODevXvg8/lo0aIFXF1dsXbtWt3JHYDz58/DzMwMEokECQkJ2uekCsXFxdixYwfi4+NhYmKCiIgILF++vMbywVdx6tQp9OnTR+uGP3fuXK0fnfz8fOzatQvDhw+Hh4cHTE1N0aVLF8ybNw8XLlxAdHQ0NmzYUG2/7du3I+YNte+1we7du2FjY6Or0VwHZGVlwdHRET169MCdO3fe/uW0NMMNs1BY4Xn5L0eDYf4Po7CwEF5eXliwYEGd9lMqlYiNja3Vd48ePQp/f3/4+vriwIED+gyz7nHlehJcv3HjBjw9PdG3b1/cuXMHE2SyiljlO1bgaoZBCYeDtEaNYGZmhldjomKxGE5OTrC0tISJiQmSk5Nx//79fyZHp0+j7LXs2tq2QobB8MBACAQCvHjxAt8PGlT3WtdXrsOKIUPg4uKCKtcxtzJDu8rQCoVCnclG9+7dERkZCYVCAVGlO7pqJcvj8dCSxcJOhkEJw6DsNTd7MYuFEobBz2ZmaFF5vAEDBsDV1VVrKPl8PpRKJaRSKY4cOQKgIr7q7e0NIoKNjY3WlXvjxg34+fmBiMDn87Fy5UqcP38eixYtgqmpKRQKBaysrNC7d28sWbIER44cgVQqhZeXF+7duwcfHx989dVXOHDgABQKBdLT06FWqzFu3DgYGxvDxMQEHTp0wIYNG1BYWIjy8nJ8/fXXWpUpIoJIJAIRYc6cOToG+VW3spWVFUxNTbVVCNnZ2Wjbti3S09PRp08fmJqaIjQ0FEuWLMGjd6zOSkpKsGbNGvj5+cHBwQGzZ8/GzZs3YWJiUmMopra4f/8+NmzYgAEDBsDR0VGrtb1s2TLk5eVp792srCxERkbqdYxLly5BoVDoXQ5Vhara56q65dcnQlrUk0LdqwQ4/61oMMz/AvLy8qBUKvHzzz//s/EtRfa///47+Hw+li5d+tZ+c3Nz0bVrV9jb22PdunV6l2jpFVfu1u3dpQ9vMqpEOoxXBQUF6NGjB2ba20PF59fNUBJhEBGsra2xa9cuPH/+HF9++SVkMhmmTp1aYxhB1aWL3nEvFRHKoqMhlUoxYcIEcLlcJHG5KK4j41gBEb4QiaBUKsHlcuHg4ABnZ2dIpVIQkdZlXLXSDwsLQ2pqKhwcHBAREYHjx48jNjZWu4+bmxuGVLqwa+OaLyDCxEoDxzAMGIaBSCTCwIEDYWxsDD6fj6lTpwIATp48qXWbR0dHw9LSEt9//z2Ki4uhVCrBMAzs7e3BZrPB4XDg5+eH5s2bY/bs2VqDUpWVn5iYCHd3d2g0Gty9exd2dnZYv349tm7dCpFIpJWCDAgIQPv27avd0yqVCmvXrtW625VKJfh8PmxtbeHg4IB+/fohISEBlpaWaNOmDbZs2YLS0lIIBAI8ffoUmZmZCAgIAI/HQ3BwMBYuXFirMsTbt28jOTkZSqUSERERSE9P13E/9+3bF4unTKk34oz9+/dDKpXigw8+gIWFBezt7dG/f39MnDgRfn5+de4vPz8fLi4uWLlyZZ33fRNyc3MRFhYGb2/vmo19VFT9GOZXKGP/W9FgmP8lZGZmwsrKCo8zM99aZK8RCHDUzAxD/f0xbdq0Gvt68OABhgwZAoVCgdmzZ7+z/OJt0CuuXA+xozI2G6r793Hx4kUsWLAAkzp00Dt7s5zPh+b0aWzcuBG2traIi4vDzZs3AVS4uG/cuIGNGzdixIgR6Ni8ucGkHEVEMCOCk5MTOnfujOfPn+PG2LEoqQVbmJoqVt3jTE0hk8lga2sLb29vrFmzRhsTLSsrw6JFi+Dt7a01mlUJWRKJBO3atYNcLodQKMTBgwdRWFiIk3371pnfu4AInwuFaNKkCXr37o19+/YhMTFRuxJnGAaxsbGwtLSElZUVWrZsiaNHj2LIkCFag05EaNKkCdq3b4/bt2/jxIkT+OCDDyAQCODl5YXz58/r1LFrNBo0bdoU2dnZ+Pvvv5GcnAwOh6NNAlMqlVi4cCFKS0vRqlUrbc1uWVkZVq1aBWdnZwQGBiIrKwvt2rVDfHw8OByOlthCIBDA0tISYrEYHTt2xNy5c7FkyRJwOBzI5XIEBAQgMjJSh3L0TdBoNDhy5Ah69OgBqVSKYcOG1ZydfPo0HgUFoYRhah16qc2xbW1t8eeff0Kj0eDSpUtYsGABQkNDwWaz4ebmhqFDh2LHjh01ay2/ApVKhY4dOyIpKanWx6/LONetW1dj7XN5fHz9GOaGFXMD3if2REWhmMWqVW1tGY+HH1q21Nm/oKAA06ZNg1wux+eff/7OGNi7oHe9cj3EjqoYr6oINH4Si/WuFdYwDA7J5fDx8UFWVhb279+P6dOnIzo6GkqlEpaWlujWrRtmzpyJa4MGGUzbWMJiYRRVuILt7e217ucQiQQHZTKUsdnVsoBL2Wxt6VD+vn1wdHTEBx98AEtLS8ydOxfh4eGwtLRESkqKDoWpSqXC999/Dz8/P514MhHByMgIUqkUI1q3hkrPcyogQmdzcyQnJ2PPnj3o2LEjlixZgsWLF8PHx0dn5V5FB5qYmIjly5eDy+XCyMgIbdq0gUKh0FlBLl++HC4uLpBIJBAIBJg9ezbKyspQWlqKoUOHwsLCAiYmJoiLi0NKSgrMzMxw+fJlXL9+HU5OTkhJScHt27dhYWGB4cOHw8HBAaGhoTplR7GxsYiOjoZEIoFcLoeRkRG6dOmC33//Hbt370ZERAQEAoHW1f/xxx9j3759SEhIeCuzWEFBAZYtWwZPT080adIECxYs0MnE1kEt6+X1Ic7o378/5s+fr7Ptzz//hLOzM86ePYu0tDS0b98eRkZGaN68OUaPHo2srCwUFBTo7DN+/HiEhIToRbdZWzx9+hRDhgyBUqlE//790blzZ4zncAznnG+IMTfgvWLx4jqT4hexWBX1mCoVli9fDisrK8THx+tVglUT9K5XrqfY0UYuF19++SVO79kDtYH0lyUMg9YuLtqylJEjR2LLli1aRqP6HvvqSuPo4+ODTZs26XAg49EjHOzUCaddXYGoKBy2s8PZ+Hgdl+bFixehUCgwY8YMmJmZIT09HRcuXMDHH38MU1NTDBgwoBrvehWLmrGxsY6B3k61oIx8Q1MRIVMohEAggFwuR1WM3sjICK8mlEmlUgwYMACDBg1Co0aNtLHtb775BsnJyWCz2YiKitKGQ06ePAmRSISQkBAsX74cPj4+EIvFEIvFaNGiBSQSCc6ePas9t+XLl8OlnLapAAAgAElEQVTJyQmPHj3CvXv3tBSRZmZm4PF4WopQALh19ix+DAnBehYL2QIB9pqZQZWaigObNiEgIAAMw0Amk2HUqFG4fv06jhw5Ak9PT6SkpKBVq1Zgs9kIDAzEd999p8O+lZeXh5EjR0IulyM6OhrZ2dlvfzb0YYarg3HetGkTol5z4966dQvW1tY620pLS3H06FFMmTIFwcHBEIvFCAoKwuTJkzF58mTY2dm9M3auLzQaDXJycjB16lS0aNECIpEIfD4fbDYbbd3cUG6o4ldDVnYD3hsMSJQq5/PRy9ERbdq00QoL1Af0iitXoZ5iRz+bmoLL5WK2UoliA2UWi4gwy8wMzZs3R4sWLdCiRQv4+vrC29sbzZo1g5ubG5ydnbH/dZ5vPdtuqsjKFovF8Pf3x7hx45Camor58+dj1apVaNu2LUaMGIFjx45BLpfj6NGjePToEYqLi7UThYyMDFhZWSE9PR2WlpbaBMFHjx5h2rRpsLCwQEREBDIzM7UGYsGCBfDz80NJSQl27NiBSG9vg1clxUQIdHYGm82GQCAAj8fTxnCNjY3B5XLBYrFgYmKCyZMno3nz5mjatClCQ0ORkJAACwsLLT2mRCLBwIED0bhxY7BYLEyZMgVubm5wcnLCkCFDEBcXB1NTU7i7u6NXr146k6bx48fD398fqampMDc3h1QqRXR0NGbNmgUfHx8cnzsXJy0tUUyVHojXfv8ShsGfbm7IXbsWKSkpUCgU6N+/PxYvXqyTyWxnZ4evv/4aH3zwAeRyORwcHODk5ARjY2N8/vnn75SjBGDQM11b4ozHjx/D2NhYZ6X75MkTSKXSt+5XUFCAvXv3ol+/fuBwOBCJRIiMjMTMmTNx5swZgyUai4qKkJGRgUGDBsHa2hqOjo4IDw+Hu7s7LC0tMXr0aEyYMAFyuRx/NGnSUMdcCzQY5n8DBiRKqYhwt1WrepV61Cuu/CrqadV5rXVrDB06FBv1zGp+vWVWkm2Eh4ejY8eOiIqKQteuXdGtWzd07969QjDA1rZejrWaKuK9CoUCXC4XIpEItra2sLe3h52dHbhcLhQKBeRyORiGgbGxMYRCodatKhQKIZVKtYlWLi4uEAgEsLOzQ/fu3dGvXz98+umn6NKlC6ysrGBpaYmePXvCyMgIO3fuxOXLl3Hv3j0UT5tmuNQhw2BPSAiUSiVyc3Nx79492NjYoMp9XSXKEBAQAA6HA0klIYqLi4vW8C1evBj2QiFmK5VYQ4R0qpClXGhvj4ObN+vcv0+fPsXEiRPBYrHg7e2NVatW4f79+0hJSQGfz4eNjQ3OnTuHgoICrbDCZ3w+CqmypvxdL/PKVWnVcUQiEdzd3XHnzh2oVCrweDw8evQI8+bNg7OzszZXwNvbG6ampujZs6d2TG+EAc90XQyOr6+vDmVmcXExeDzeO/d78uQJGjVqhA0bNuDp06fYuXMnhg0bBnd3d0ilUsTExGD+/Pn4448/avVuuXv3LpYtW4bo6GgYGRkhODgYgwcPRteuXWFiYoLu3btjz549Ohnad+7cwbh27VCo73X6H2L+YgCAGvCfw6NHRPb2RCUl+vchEBDdukVkZmbwcFQqFbVr144iIyMpOTlZ5zMAVFRURAUFBfTy5cs3/m2amUltDh4krkql9zhKWSza7ulJR1u2pL7bt1PAkyeGnhpRVBRRRsYbPwZAf/bvT46rV5PAgMegmIhmGxnRDkdHevjwIT1//py4XC4xDENdu3YlR0dHmj59On377bd06tQpunjxIvXs2ZNKS0uppKSECgsLqaCgQPv3119/pbKyMrKwsKC//vqLiIiMjIyovLxc21QqFanVau0YGIYhhmFotUZDffQ+k3+wlYjGODjQxIkTafPmzfT06VM6d+4cDR06lCQSCaWlpRGLxSIWi0UAyNLSkmbNmkW5ublUdOQIhZw8SSElJQQiEr3SbxERsYjoF6mU/oyJIdfERAoICCCBQEC9evUioVBIJ06coLy8PHJ3d6dZs2ZRamoqubm5kUgkorVr19InajVNefmShHX5zUQioq+/JhoyhEaPHk3Hjx+ny5cvU2hoKGVmZpJAIKCIiAgaNmwYBQUFEcMwRER0//592rt3L2VmZtK+ffuocePG1KlTJ+rcuTO1aNGC2Gz2f/SZHjduHPF4PJo2bRoRVdzDHA6HSktLicPh1LiPSqWiDh06kK+vL82aNava5w8ePKCDBw/SwYMH6cCBA1RcXExhYWHUrl07CgsLo0aNGhEAOnfuHGVkZFBGRgZdv36d2rdvTwEBAfTgwQPatGkTSSQS6t+/PyUkJJDZW87jj6QkarRoEYn0/P3+F9BgmP/TmDWLaPJkwx5ioZBo6lSi0aN1NqtUqnca0df/njhxgh4+fEgeHh7VPissLCQ+n08SiYSMjIze+NecYWjs4sXEMcAwV72YoFDQ3bAwsjl8WP++qpCYSLRmTbXNarWatm7dSjNmzCCZSkX7r14ldnm53odRc7nUu3Vr6j92LHXo0IHy8/PpwoULlJaWRkePHiVbW1vKzc0lKysrYhiGXF1dqW/fvtSsWTNydXUlPp+v019JSQmFhYVR+/btady4cTRgwAC6cuUKpaenk7m5ORERjRw5km7cuEEzZ86kefPm0fr168nX15cW3rpF7nl5ep+L9pyIaDcRzeFy6Re1mmQyGb18+ZI8PDzI1NSUDh8+TDwej2xsbOivv/4ilUpFbDabhjAMzVSpSEBE7Hf0X0JEYxiGlhARn88nAFRaWkoymYzMzc3p+fPn9PDhQ2KxWFReXk4ymYzaikS07s4dHWNfW6h4PDo8dSrNPnSIWCwW3b17l3Jzc6m8vJy6d+9Ow4YNI6VSSVwuV6fxeDzicrlE/8feeYdFeXRtfHaB3WWBXbaB9G6jiIi9oIFQxF4RGxaU2GLvNXaxxVgSY8yrxsRoFHvXqK9dY0yMxsSWWGKLrx2Rsr/vD+SJCBaKibk+7+uaS9l9yjyzz8yZOXPOfQshjhw5Ihnqa9euiejoaNE3K0sEp6QI2Wvo089ix44dYvjw4eLAgQPSZ3Z2duLKlStCo9Hke07fvn3FyZMnxcaNG7MnEi/BhQsXxI4dO8S2bdvE1q1bRVZWlsjKyhJ2dnaiUaNGokmTJuLGjRti8eLF4rvvvhNxcXGiQ4cOokKFCtKE5mVInzVLiH79hEVm5gvfEyGTZbfN/yOjLIQQb13ZfzeKye270WgkKCgIryeEGiqVCvkTVSJnZ2dKlSpFaGgotWvXpn79+rRq1YouXbrQt29fRo0aRXJysqQBu2jRInbs2MHhw4c5deoUly5d4vbt288nCsgPRXTlZTVuzPLlywkODmaqg0Oh9X2lkk/0ZlpaGp9++im+vr5Uq1aNDRs2ZLvtisDfmyUE5saNqV+/fr4c5l999RUajYby5ctz4cIFXFxc6N69Oy1atJCUlfz9/WnVqhUTJkxg/fr1/P777/zxxx+4u7uzfPlyzGYzI0eOxMPDg9WrVzNy5Eg0Gg2tW7emSpUq6PV6LC0tUSqVLCmGdyun5PBodxXZQWU5AV7iyd/+/v7UqlULKysrHB0dSRIFF/V4IATdnkR629vbY2lpiUKhwMvLC41GQ4kSJfDy8pLuu1mtLnS0fpYQbNVokMvlqNVq/P39KV26NDqdDpPJhIWFBUajER8fHzw8PHB2dsZkMmFvb4+NjY0UbS+XyyX1Kxsbm2yK2OJo81dIA3r06BG2traSeAeAo6Pjc5m7Fi9ejI+Pz0tTqHJw5coVPvnkE4mHvVatWvTr149hw4YRFhYmBXK5ubnRt2/foknPHjnC3XffJU0uz5va94ym+/83vDXMfzeKKVDqz2rV+P777zl79izXrl3j4cOHufeGXkBYAsWwr/wsihLQplDQ1MOD4OBgGjduTEl7ex4XcbDLsLIi48lg9eDBA2bMmIGrqytRUVHs3r0bs9lMeno669atY0hERKFzpjNVKjhyhObNm7Ns2bJ8m6Zr167Y2NgwZswYNBpNrmCbR48ecezYMRYtWkS/fv2IiIjAZDKhVqtxdnbGwsICd3d3jEZjLm7qnPQiW1tbqlevzoABA1i2bBnX+vbNw/BV1PJACPrb2qLX6yUD+TQrmaWlJdEGQ6H3Dh8IwbCoKDp16pSLUMXCwgKZTIZKpaJOnTokNWlS5MC2x3I5tcqUkch9Jk6cKEmqnj9/ng4dOmA0Ghk3bly+Qi9ms5mMjAxSU1O5e/cuN2/e5FFERPG09SsSZ0RGRrJq1Sqpj6+yseFBnTp5+viRI0cwGo0vpOM1m80cPXqU0aNHU6FCBUl+c+nSpdy6dYsbN24wY8YMAgMD8fLyYvTo0axbt45JkyYRGRmJra0toaGhDBw4kC1btuRJzXoVmK9f52hcHMtVKn7w8CCtZcs8mu754iVj3L8Zbw3z343XTUv3AmWnnFloVsOGdHlCf1isKES6yAMhmOjhQWRkJDqdjmGJidwaPBhcXTEXsm2yhGC30YinpyeNGjXCZDLRtGlTjh49itls5sCBA3Tv3h2TySQp/Ayws8srU/iSkmZhIaW6tGnThkWLFuXbLPHx8UybNg0PDw+JwvLkyZOsXr2a5ORkunTpQp06dXB1dUWpVEraypUrV8bZ2VnihJbJZBLRR2hoKLNmzeKnn34iIyODBw8e8PHHH1OzVCnSihjRnl95JJPxkVyeK5BrgMgmVhk0aBDfeXgUKUXrG5G9Cre0tEQIQUBAAC1btiQuLo7g4GBUKhVDrayKLrNpbc0EvZ5ff/0VgKSkpDz0uL/88gvx8fE4ODiQnJz8ctGZv5lqckmvXnzv5fXCPv4oJoZYBwdWrlyZ5/yHDx+ybt06unTpgrOzM35+fvTt25dvv/2W9PR0MjIyWL9+PU2aNEGr1dK2bVt27tyZb6pYWloau3fvZtSoUdSoUQMbGxtq1arF6NGj2bNnT+60wZfgf//7H0lJSTg5OfHFF188PwjtFca4ghK4vGl4a5j/bhQDGUeahQXHW7fOOzt9RWWnLJHNk5w1Z07xP18B1KVS5XJ6WFqi0WhY0LUraXXr5i9UUcCSKpPR1MMDW1tbnJyccHFx4YMPPmDo0KH4+PhQqlQpxo4dy7lz5/jpp59wcnJiyZIlBar7AyG4Nnq09NidOnVi/vz50t9paWmcOnWKNWvW4OTkRNOmTXF1dZXEF3Iif3v16sWIESMYNGgQnTp1IiwsDK1Wi7u7O40aNeKDDz6gdevWhISEMHfuXEqVKkVycjJarZayZcvi6emJpaUlFhYWuLq60qVLF65Vq1b4lJTnFLMQZDzzWY4M5nohSCvi9VOFoKKnJ1qtFo1Gg7e3N02bNqVq1aoSacuyQvKZP1uWWlpKBCF169Zl7dq1+b7KJ06ckJjOZs2a9Xz1pcmTySogdWye8qrEGXPnkqVSvXQSlCkEj62spInjsy7qsLAwpk6dyi+//CJd+vTp0wwaNAgnJyeqVKnC/PnzuXPnzsvr9BTu37/Ppk2bGDBgACEhIdjZ2REVFcWUKVM4evToK6VmHTx4kODgYN555x1Onz6d5/lfpY8WhsDlTYL4pyvw/w7FQF+ZYWlJ89q10Wg0NG3alGXLlvFoxozXSm5QIBw5kr03pFJlDzjPDMBpMhlb7exo7ObGmDFj6G9rS6ZSWSzGJM3Skj7W1pQrVw6j0UhSUhJlypRBoVBgZ2fHwIEDJQ3ZEydOSLPzZ+tufpKO8+zgaVapWK9UEvbENX369GnWrVsnUUC+++67eHp6olAo8PX1JTo6GgsLC6ZOnYqfnx/jx48nMjISrVYrkWz4+PjQvHlzJk6cyNatW3MxfUG2uzEmJgalUsmJEycwm80sW7YMrVaLUqmkR48epKSk8Nlnn/H+++8T7+dXYKWsopQsIQrt3cgpD4XgA41GSi0TQlDS3p7/+PtzPDCQ38uVI9VgKJb6rpfLpdWYv78/P/zwwwtf52PHjlGvXj3c3Nz45JNPcuUR7927l7h33ikyrWuGpSXnXiYmUQiP1GMrK8a7uaHT6WjVqpWULpWDe/fusWDBAqpVq4ajoyMDBgzg1KlTr9LLXwm3bt1i1apVdO/enTJlyqDT6WjcuDEfffQRp06deu6qOCMjgxkzZmAwGBgxYkR2n33NBC5vEsQ/XYH/lyhiHvPD6GggOzdxwYIF9KxSpfAuvteZG3jjBvdHjeJYQACbrKzYYDQyTqslKiSElStXZs+e584tsFDF84zDQyFYER7OnDlziImJkZilYmNjuXPnDocOHaJevXq4uLgwePBgHB0dWbp06XPr/rm/P2eqVuV+nTpcqlOHPQ0akNS0qbTqFULg7OxMVFQUwcHBNGzYkI0bN3LmzBnu3bvH4cOHGT16NHZ2doSEhCCEoHTp0rRu3ZrmzZuj0+lYs2bNS5sxPT2dChUq4OLiQqNGjShbtiwBAQHMmjWLmJgYwsPDuX37NmazmalTp2IymRhuMBRa5eqfKr9WqULdunWpZW3NBqWSR0IUncIxn/KlpSXz58/nv//9LzY2NrkCqV6EgwcPShOv/v37U6tWLTw9PZk3bx73IiIK7crPEoLDbm44OTnh5+fH+++/z5YtW3Jz3hchhiNTqSTjwAHpUjmc3+3bt8fe3p5GjRqxdu3a10rRmYMrV67wxRdf0LFjRzw8PHBycpIoUS9cuJDn+MuXL9OsWTMaubgUfpz4F+Y/i3+6Av8vUYROliqXc/RZlakiRBW/Ljady5cv07t3b7RaLaGhoRKt4Z49e3LJLZqLyLz1SC7nkRAcdndncEQEWq2WmJgYli5dyoMHD7h9+zZt27bF19eXA08Gp2XLlqFUKrG3t2fatGncuXOHM2fOsGnTJmbNmkXPnj2Jjo7GZDIhk8nw8vIiMjKSbt26SZKUCQkJ1KlTBw8PDy5evEjbtm2JjY0lISGBoKAgrJ+s2uvUqSMZ0crPcJ3v3LkTBweHXC7w/NCtWzc8PDywt7dHpVIxfvx4qQ0zMzPp0aMHZcqUoUmTJvj4+GA0Gvnwww8xvypv8xtSHkdGZlPVWlu/nDikkCXNwoIPNBo6dOhAhQoVECJbkap27dq89957fPTRR2zfvp0rV67kWc1lZWWxZs0aypQpg7W1NSVKlGDx4sVs3ryZKL2+0NKhaZaW1CtRgm+//Zbvv/+e8ePHU716dezs7Khfvz7z5s3jQWRkkQlMLl26xLhx4/Dx8cHf359p06YVjumvmGA2mzl37hzz588nLi4OBwcHvL296dy5M1999VUu2cyrVasWeuLzb2QME/90Bf7fopBumc8rV85NuF8MrvHi5J89f/48Xbt2RaPREBwcjFarpUOHDpw8eTLXcenp6ZwJDCzSKuN3IZig11PGaKRSpUp8+OGHz9XAXb58OUajkejoaOzs7IiJiaFGjRoSa5W9vb00OE+bNo21a9eyb98+NBqNtHLZv38/zs7ObNq0iXHjxmFtbY2trS0WFhY4OzsTEhLCJ598wpEjR6RzxowZw5AhQxgzZgwDBw7MU69ffvlFCr55ev/NbDazdetWqlWrhkwmo3v37vz2228cPHgQk8mUK9L28uXLuLu7S6pM33777V83OHKEw25ur83QFWc5LJMVWBGroCVVCIwiW0c6IiICV1dXtm3bxtq1a5k1axZJSUmEhYVhMpnQarVUqVJFko709PSkbNmyfP3112RmZrJlyxbc3NywtLRk7Nix0kSooH2auXPZsGEDzs7O9O/fX9rLvnXrFl999RXdmjUrsqv8sVyOr1ZLUlIShw8fLlbmwOKC2WzmxIkTfPjhhzRo0ACtVou/vz9DO3cms6jxBf8yjm3xT1fg/zVeNVhLJuOhTEbazJmMHj2aYcOG/XWNYggmKw7FllOnTtG2bVs0Go1E8zdw4ECuXLmS59gtW7ZQ3c+PtCKmRKUKQRUfHymAJTMzkwsXLrB161bmzJlD7969iY2NpVSpUiiVSoxGIzKZDDs7O/r378/q1as5efIkR48eJS4uDpPJxPjx46XAoBs3buDv70/79u1p1qwZKpUKlUpF9erV6dmzJ0lJSfj6+hIUFESjRo0YMGBAnmdt0aIFX3zxhaTZmx9u3bpFnTp1qFevHn/88Qdz5syhdOnS+Pv7YzAYcgk2AHzxxRd4eXlx48YNDh06hLOzs5TTrtfrc93nxo0baLVa0urX/9sMbGENx+PXfI8smYxTZcoQERFBx44dcXJyQiaTSTnKjo6O1KhRg4SEBMaOHcvcuXNp164dJpMJJycnypcvj6urK2q1msDAQFxcXHBzc6Nnz56UKVOG8uXL82O3btniNIUITrp58yZNmjQhMDAw177343HjCpwx8GzJUChIfyKZ+W9BRkYGhw8fZmd0dJHHin+bKpX4pyvw/x4vCJR6Osl+ZN269OjRgyVLlhAXF/fX+cWUqvHHu+/y3XffcfbsWf78889XJhc5duyYlFbh7e2Ns7MzycnJ+crinTlzhgYNGuDj48NP7doVPfpaCAbK5dSrV4/SpUujVCpxcXGhdu3aJCYmMmXKFFJSUvjpp584ePAgjo6OfP3118yfPx+j0cj06dPJysrCbDZz+fJl5s6dS1BQEAqFAo1Gg0ajwcfHh6CgIPr06YOfn1+u9A+z2cw777zDkCFDsLGxIT4+Ps8zly1bliNHjmBnZ/dCWc5Tp04REBCAhYUF0dHR7Nq1i9atW5OUlJTv8UOGDKFUqVLodDo8PT1p27YtqampHDx4MJcAxuTJk2nfvj1MnpxH6OFNKplCFJo45FXLQ5mMOF9f+vXrB8CHH35IYmIiK1asoHnz5tja2hISEkJcXBy1atVCrVZjZ2eHtbU19vb2VKxYkbi4ONq3b49Op6NixYokJSVRv359/Pz8UCgUKJVK3tFoOOzmRqaVVd5o7ZcQZ5jNZhYtWoRer6dx48bUrVuXr4orL/3fqmP8N6ejvQnIn1z1Lf4+hIYKsXKlEDdvCvGf/whx4oQQt28LodMJERgoREKCECaT6H37tggMDBSlSpUS556mXLx7t1iq8cOuXaJr48ZCJpOJ+/fvi7t37wqVSiW0Wq3QarXC3t4+1/8fPHggDh8+LC5fvixUKpXQaDQiLi5ONG3aVOLJNZvNQi6Xi/v374vx48eLBQsWiAEDBojly5cLZadORaMlFUJYCyH8zWZxy9FRTJgwQfj4+Ai1Oi9Z4/Hjx0XDhg3F7NmzRdOmTcVvv/0m0tPTxaRJk8S4ceMknukKFSqI2NhY0blzZ7F7926xa9cuERUVJVauXCk2btwoPvzwQ6FQKKTrymQyMWfOHFGjRg0RExMjNm7cKFJTU6U6pKeni/Pnz4v09HTh5uYmDAZDrnqZzWaxbds2MWvWLHH48GHRqVMn0bhxY7FgwQKxe/ducfToUXHs2LE8z5OVlSUeP34s8WiPGjVK9OrVS8hkMlG5cmWxd+9eERsbK86dOyfWrl0rvvzySyHu3BGWT3Frv0lAZLelHF7bPVKFEMfbtBE/ff+92PzZZyIyMlJcvHhR+Pr6imbNmolmzZqJ69eviwEDBogVK1aIzMxMUa5cOdGpUyfRqFEjYWlpKc6ePSv+85//iC+++EKUL19eZGVliZUrV4rU1FTh7e0toqOjhb29vbh06ZIIP3pUlLCxEQkymfDIyBAllEoh0+tFqo+PuNekifCuXFmU8fMT2if1M5vN4tixYxIXdWZmpti3b5/Q6/Uiplo1IfbsKXoj3L5d+HNv3Mgen378MXvM0WqFCAoSokOHYuHsF0IIQNy7d09cvnxZXLlyRfq34X//K4KK4wZFef6/GW8N85sCk+mFPLk6nU58/PHHonv37uLBgwd/faHVPvecgkDl5CTc3NzEDz/8IGrXri2aNWsmwsPDhRBC3L17V9y9e1fcvn1b7Nu3T6xYsUJcuXJFAMLe3l6UKlVKqNVqsWvXLrFmzRpx9+5dcefOHfHw4UOhUqlEenq60Gg0omTJkmLfvn3i5MmTYsC+fSKwGOpd0mQS3b/+WnTp0iWPUTabzWLNmjWiQ4cOIiwsTMybN086LiQkRHTo0EH89ttvYsOGDWLq1Kmiffv2Etdvz549xfnz58XEiRPFjRs3hEwmE6GhoXnuX7p0aZGYmCh27twp9Hq96N27t5g/f74QQogzZ84Id3d3ceTIEVGzZk3pnPv374tFixaJ2bNnC5VKJXr16iW++eYbYW1tLYQQwsPDQyQmJorx48fneaY7d+6IVq1aibNnzwo7Ozuh0WikiUUOvL29xf79+0VYWJi4deuWCD54UIihQ4uhtV8PMoUQMgsLIS8K1/pzkCWEyLSwEIebNROttm0Tbm5uokePHqJz587CyspKjBgxQvzvf/8Ts2bNEnPmzBERERHi0KFDws/PT2zZskWsWLFCDB06VAQGBgqz2SyuXr0qDh8+LPz9/SVjlf7dd+LR1avi9u3b4kJ6uljj5CTMISHixx9/FMPv3BHW1taiVKlSElf6wzVrxI1PPxXnz58X1tbWQqVSibt37wpbW1sRFhYmRo4cKWJjY4VcLhczZswQW4cPF82LozF0uoKfc+SIEBMnCrFpU/bfT0+mV63K5v2PiRFiyBAhKlZ87mXMZrO4efNmHqP79L+XL18WMplMuLq6CldXV+Hi4iJcXV2F0tExW+CjqCjM8/9T+KeX7G9RMLRr1w5LS8u/Ev+LYY85Q6Fgba1alC9fHjs7O4KCgihbtixqtZq6devy+eef8+WXXxIcHIzBYMDOzo4mTZq8UA/6wIEDkgbyqlWr+P777/n2229ZvXo1ixYt4ufQ0GJxT+1wccHPzw+tVisRdcTFxREaGoq1tTVyuZwqVaowfvx4Nm3alG9w2Pfff09AQACNGzfOIyB///59rK2tKV26NHq9ngEDBuS5xoMHDzAYDNSsWRMfHx+JmnPZsmU0btyYZm8dV+sAACAASURBVM2asWTJEn799Vd69eqFTqejWbNmuSPUnyAzM5OaNWvy/vvv4+HhwahRo6RjTp8+jZ+fHyVLliQkJITff/+dCxcuUKJECbZs2ZLnuerVq8ckT09Si4vL+TUUs1rN/0qWLPbrPpLJyLC05L+OjoQ92UPOYRWrWbMmZ8+eRafTYWNjg0ajoWPHjhIb2LPICdBzc3NDq9WSGBzMmcBAzErlS5mn7ty5w6hRozAYDJQtW5b69etLfUsIgUKhwNnZmeDgYCpVqkSpUqXQaDTodDpq1KhBYmIi62rVKnpQXGH2WF8xBsYsk5GlUnGmXz+WLVvGtGnT6NOnDy1atKBatWp4eHigUCgwmUwEBwdTr149unbtytixY1m4cCFbt27l5MmT+W5/AW9MHM3fibeG+V+G27dvY2Vlxbx587I/KOao7D///JP1CxeyqmpVVtvZsV4mY4kQ9BcCB5mMsLAwjh49+tz6XblyhbZt2+Ls7MzixYvzpfEDio0BbYqDg8QhLZPJMBqNODs7o9frJQpLGxsbnJ2dKVu2LFWrViU6Opq4uDi6du3KwIEDmTBhAjNnzqRu3bro9XomTZrEjz/+yMWLFxkyZAgREREEBARw8eJFevTogU6no0+fPrmEAwYOHIitrS379+/HZDJx/vx5RowYwbBhw9DpdNSuXRuTycSQIUO4ePHic9tvwoQJ1K5dm8zMTK5evUrlypWJi4sjJSUFg8GAq6sr7dq1k0hSAHbv3o3JZJJYkrKystizZw+1rK2z2Z/+bmMrXk44kikEjyws+Cw0lP3FRByS6eTEWiE4WaECg+Ryqvr68uuvv2I2m/ntt9+YM2cOrgoF/YWQqEW/VigYplDQr1273HnDT7B161YcHR2ZMmVKNr/6rFlkKJUv3w9/EtyVNWcOhw8fZsiQIbi6uiKTyXBzc2PKlCncvHmTc+fOsWXLFubOnUvfvn1p0KAB/v7+kj63l5cXwc7ORY7KLnBUciEizFPlcj4pX57evXuTnJzMV199xZ49ezh//vzzWdNeBW9Y5snfAfFPV+AtCo6qVatiMpm4f/9+9gfFJdL+hIPWrFSS8cyAniqT8UgIUuRyqlhYEBAQwKRJkyTVmkePHjF+/Hj0ej1DhgzJVwAgF4qhsz22sOCTcePQarWcPn2aPn36ULt2bfbv34+DgwMpKSmYzWbu3bvHpUuXOHHiBHv37mXDhg0sXbqUuXPnMnHiRAYNGkRSUhKtWrWicuXKUo6zo6MjQgjJ6Ds7O1OuXDkqV66Ml5cXCoWCoKAgevXqRYcOHbC1tSU+Pp4uXbpQpkwZSpYsicFgwMrKis8++yzfgf9pHDlyBJPJlMtwP3z4kHLlymFhYYFWq83OT36ygs7KyuLs2bOsWbOGJk2aSN4OtVqNRqNhk7X1aw+oyvd3EYINcjmPZDIePbNaT5XJSJPJWCkEDV1cUCqVrLazK5b7pjZrhlwu5/fff+f8+fPY29tja2tL7969ubNtG/ciIkgVeUlLcqhFVwlBl/Ll+fDDDzl48CBjxozBycnpr/SzQhirh0IwysGB/v37s3v3bu7evUtycjIODg7Ex8fnosR8GhcvXmTw4MG4urri5OTEHqOx8L9lPnm8ZrOZGzdu8P3337Nu3To+/vhjhg8fTkJCAt0rVSr8Cv11kXkU1xj3L4H4pyvwFgVHv379qFChAu+99172B0UgLJE60ty5mNXql+a7mmUy0hUKkn18UKlUyGQy9Ho9tra21KlTh7Nnz776gxRTZ2vQoAHLli0jMzOT2rVro1KpSElJKXT73r17l44dO6LRaGjRogUZGRm0adOG4cOHc+zYMb799ltSUlKYOXMmderUwdraGm9vb/R6vZR2I0S2KENOG+W48vz8/AgNDSU8PJymTZvSsWNH+vTpw7BhwzCZTCQlJZGSksLOnTvZv38/DRs2xMHBAZVKhVarpVevXrRp04by5cujVqtxc3MjOjqafv368e6771KxYkWuXr2Kv8lEVhFTbApTMoXggLMzSqUSTxsbPvb15Y933+V/NWqw29OTMXZ2fDZpElqtluvXr/P48WNOtGvHoyK6as3W1twdMQILCwvOnTsHwE8//YTBYGDaE4rSV+GXfiAEvZ5EV8vlcipVqsSgQYPYlZxceDKcfIzVvXv3GDduHEajkQ4dOnDhwgXS0tJYsWIFMTEx6HQ6unTpwoEDB7InYkXo4w+EIMpgwMfHBz8/P5yf/D56vZ6goCBiYmJITExk9OjRLFiwoGhc66/LCBbHGPcvgvinK/AWBcecOXNo3749rq6u7NixI/vDIpAbPJoxo+CsRWo1l4YNo2LFitjb22MwGJDJZKjVasLCwliwYMELWYX+/PNPDn70UaHZkp7ubMnJyXTv3p3Dhw9jMpnw9fVl1KhRRWrj06dPY2dnh4ODAwMHDuSbb76hdu3a+R579epVateuLalAeXl5cfDgQYQQvPvuu8yePZtHjx5x7do1Tp8+zaFDh9iyZQvLly/n008/JTk5mfLly1OqVCkaNWpEpUqVcHNzy6V9LISQaEB1Oh0BAQFERERILvlBgwYxduxYypQpQ1BQEFMdHcn8BwzzI7mcL/v2pVatWty9e5cePXpQokQJli5ditls5rvvviMyMhKVSsWoUaNYuHAhZY1G0ouYypUmk/H5lCnI5XJpFXrw4EEme3kVmDf8gRCSuIqfnx/h4eHs0uuLpJ512t9fmjA8jdu3b5OYmCjlyFerVo3Fixfnr2j1hBWtIPdOlckYYTLh6OiIWq1GJpNhZWWFXC7H1taWUqVK0aBBA0aNGsX27du59fPPb67b+C1X9lu8ydi8eTPh4eFs3LgRT0/Pv9zGBVReeTB1KrPbty80z/ZDIfh6wAAp5/nu3btMnjyZoKAgLC0tsbS0xMXFhTZt2jBixAiGDBlCo0aNcHd3R6PREBYWxvJ33ik4ecIzne3gwYP4+vpiMplYu3Yt165dw8vLi//85z+FbuMmTZowadIkrl+/TsOGDQkICECtVucSnL9z5w4zZ87E19eX0qVL4+bmRr9+/aSAsxw9ZWny9ARPu6AnTpxIWFgYCoVCWgFXqVJFckdHR0dz7do1ySW/evVqTCYTPXr0YN26dSxdupQ5c+YwYcIEBg0aREJCAhYWFqwsItVpYYpZrWZb06ZYWVkRFRUliSUcPHiQwMBAoqKiOH/+PAC1atVCqVSiVqv5+OOPi8wfv/9JDIEQgvbt21OnTh1iHRwKPfFLVygIf8KUNTAhoch7vOkWFpQxGgkJCWHixIkcOXKEjz76iPLly+Pm5kbfvn1p164dGo2GBg0akJyczMiRI+nUqRNRUVEEBARgb29PN5nslVb/yGTZAU/PGKVHjx7x888/s2bNGkaMGCFxAGg0GmQyGQOe9OsivQuvM9CqAApwWSrVv9IoA28N878Rv/76K56engB06NAhNwnFKxCWPIqNZWLTptkuX5ms0HtX5mfcVjlBNqtWrWLgwIEEBwdLSkE50oSenp506dKFjRs3/iVbWUQpt7179yKTyfjqq6+kz06dOoWDgwM7d+4scPvu378fNzc3KcDKbDazcOFCFAoFLVu25MSJE3Tr1k0Sld+3bx/Hjx8nICAAyI7GVqvV0sqkVKlSTJgwIV8XdA596fz587l79y7/+c9/0Gq1efaTn8bvv/9OUFAQnTt3zqN3e/LkSYxGIxuLi0zEwuKVBsGHQvBw2jR+++037O3t6dSpEw4ODsybN4/MzEzS09OZOHEiBoOBunXrYm1tTbVq1Vi6dCk+Pj70rFKFzEKu1NIsLBj4zjvY29tL75pGo+F02bJFcsnej4ykYsWKTNTri+xqz1KpOPfee7Rp0waj0YgQAisrK0qUKIG7u7tEYlK6dGk8PDxQKpVUq1aN6dOns2HDBn744QdOnz6NyWTi1y+/zO53CgU8L+JeLs/+vgC6xBkZGdxr2LB43pvXSebx1BiXR9jiyRj3a1AQncqVe37w6RuOt4b5X4jHjx+jUChIT0/n9u3buLq6sn379twH3biRPWtt2xbq1YO2bbk9bBhdmzSRGIp6x8dnp3wUoQNmWlkxpkcPIiIi0Ov1ODk5ERsby4gRI0hJSeH333/n/v37LF++nCZNmqBWq/Hy8sLX1xe1Wk2NGjUYOXIkRz/+mMyGDV/KgPbsXtGBAwcwmUwEBQWxYcOGXN/liEQ8y9P9IpjNZqpXr55ntZ2VlUWHDh2wsrLCysqKHj16SHSjmZmZbNu2DScnJ8kAK5VKyUjIZDJMJhNjx47l4MGDUlpIVlYWkZGRjBw5koyMDPr06YPBYMBoNLJr164X1vPevXvUq1ePOnXq5FrF9+zZk5YtWxabdjF160qD4LNMbRkKBY+E4Htvb2qp1cTHxzNy5Eh69OgBZKehhYWFERQUxM6dOzl69ChlypRBr9fj5uZGxYoVgez3efbs2Qy0syOtgBOKTJWKBaGh2NraSq5+X19f3FWqIq9y02Qy/Ozt2aDTFUtbLhYCGxsbqlevzrBhwxg6dCgNGzbEaDQSEBDA2LFj+fnnnwG4dOkS7733Hnq9nuHDh3P79m06duxI7969s3/ouXPz9pP8SkF1ievVK573pl69V7tfUXDjBme6dmWzg4M0xjFlCty4QWZmJtWrV+fDDz98/fV4DXhrmN90XL+enVrUunX2y9e6NUyeTIibG2fOnAFg48aNeHh4PDcS+syZM9StWxdLS0tsbGwYMmRItpuxOFKW5HK2RUayYcOGXOlDz8ODBw9YsWIFLVq0wM7OjuDgYKKioihfvjy2trY0rVWLHdHR3IiOJis2NldnexY5qUkbNmxg5MiRDB48OM8xixYtwtPTk6tXr75Sc6ekpBAYGCgJSty+fZvp06fj7e1NUFAQSqWS1q1bo1arqVKlirQCdnFxQaVS0a9fPxYuXEjFihWxtLSkX79+nDhxAhsbG3Q6HS1atODHH38EYObMmVSpUoUbN24QHh6Oo6Mj5cqV4/fff3+lumZmZtKvXz/8/Pz45ZdfePDgAXZ2dhgMBvY3alS8ua9PJno7XV3ZaGHBn3XrwpQpfPtEHKRDhw7I5XL0en0unmez2cySJUvQaDQolUqmTp1KVlYW06ZNQy6X07t3bym74N69e6yLjeWheDk9p1kmI0OhYJSjI5UqVWLNmjX89NNPWFpa0rZtW6Y7ORXZJZuhUPBDmzac9vMrFmP1nYsLNWrUwMbGhnLlypGUlMTixYs5ffo0u3fvpmfPnjg7OxMQEMCYMWM4efIkFy5coGPHjmi1Wuzs7Lh06dLr3Wv9l9Ffbtq0iaioqHy/++WXXzAYDAULSH1D8NYwv6l4krqESpUviUGaXM61atUkN1XHjh3p2rVrrkscP36c6tWrY2FhgV6vZ8aMGblTdv7hTvjw4UO++eYbWrZsiVarpWbNmiQlJZGYmEhQUBBarZZ69eoxffp0jh8/nssttW/fPkwmE5s2bQJg27ZtVK9ePd/7jB49mooVK+YfUPMUMjIyKFWqFOvXr2fTpk1ER0ejUqnw9PSkZMmSqNVqlEoloaGhtG/fHjc3N2rUqMHZs2e5evUqDg4O0rW8vb1xdHSkatWqmM1mvvnmGzw9PRk7diyOjo6Eh4djb2/P5s2b8fT0xGg00qZNm1z5ya+K+fPn4+DgQHh4uJS37SDEa8l9bdmyJe+//z6enp4S9/e+fftwcHAgODgYIUQu5astW7bg5eVFy5YtGTJkCHq9nqFDh3L37l3UajWtWrXC3d2ddevWSef8uXkz33t780gI0p/hiTarVGRYWrJRraZLSAjbtm2T3P3nz59HoVCwf//+Ynu3l8jlLC8GvXCEYKmFBW5ubkRGRhIfH0+rVq2IiIjA2dkZk8lEw4YNmThxInPmzKF79+64uLhQtmxZhg8fjre3N9WqVSNSpyuWgMnn4l9G5rFq1SoaNmz43O+nTp1KWFjYv86l/dYwv4kogOpUzkz4zp07uLm5sW3bNvbu3Uu5cuWQy+W4u7uzdOnS/F/MN8ht9fDhQ1auXElcXBxarZY6deowefJk5s+fT1JSkpQT3LRpU/r27YtOp5OMMmQzdKnV6nxzhc1mM+3ataNRo0a5pBUzMzOlIKwJEyZQqVIlVCoVcrkcuVyOr68vXbt2ZeHChRw8eJB79+4xZcoUaU//8ePHDBkyBEdHR5YsWYJWq5WeRaVSYW1tTcmSJVm9ejUASUlJtGzZkj///JMSJUpgY2MjeTFmzZpVICk+87VrXOvXj1MVKnDQZOILmYz+QlDCwoK4uDhCQkLYodUWu4ZtgwYNSElJoV+/fkRFRUntefz4cSkFx87OjkOHDtGmTRs8PDxy/U6XL1+mTZs2ODs74+Hhwf79+9m+fTu+vr40b948l9fl/KFDfFGuHMtVKs6WLcsKa2tGqtXEhYezb9++PHU7d+4cCoWCZcuW8WfVqsXybt+pVavYjFXW5Mm53rfWrVtTrlw5rK2tcXNzIyQkhNDQULy9vVGpVFSoUIHmzZtTtmxZFAoFJUuW5JinZ7HmM+fBv4zM48svv6Rly5bP/T4zM5MqVaowe/bsv6U+xYW3hvlNQxHcVKNHj5b2NAMCAvLuOz+LN9RtlZqayqpVq2jVqhVarZbatWszZ84cvvvuO4YNG4ZSqZSk+Fq3bs1nn33GhQsXCA0NZc+ePXmul5mZyalTpwgMDKRatWq5grDc3d0JDw+nRo0ayGQyvLy8+PTTT5/LVHT69GkCHR0xP7W9cD0ykol6PQ4yGXfu3OHo0aPSCmf79u14eHjw8OFDUlNTCQgIIDw8nICAAGxtbVGr1RiNRurWrcuBAwde2C43b95k6/jxHHV355HInyjjkRCstrBg9bBhdAwMLPCebU4xW1vnu7p699132bx5MxkZGYSFhTFy5EggO2VMo9Hg7OwsvYMJCQl/keA8gwMHDmAwGPD29ubAgQOkpqYydOhQjEYjH3/8sTSRvH37Nu+99x5WVlZYWFgQGRnJ1q1b+fzzzxk3bhwJCQnUqFEDNzc3aV9fLpezpDjeayH4Qi7n/VatihyL8SJjlZGRwS+//MKqVav44IMPaNmyJf7+/igUCnQ6HTKZDGtra7xsbIrsBTErlS83mv8iMo+FCxeSkJDwwmN+/vlnDAaDlBHwb8Bbw/wmoQhJ9A+FoKJMhqOjI02bNn21+/0L3FapqamkpKQQHx+Pra0tVlZWdO/enT/++IOzZ88yf/584uLicHBwQKPREBAQQN++fRk8eHC+Bliv1xMfH8/Bgwc5dOgQXbt2xd7ensDAQCIjI19cmSfbC2kyWR7yDrNKRaoQbLK25qN27QgMDGTgwIFAtvt36NChAMyePRshhMTSdfHiRdLS0pg3bx7u7u5ERkayd+9eIHtFvmvXLoYOHUpoaCi9lUoeWVi8lAQmU2Tnrw43GBik1RZ4r/mBEBxo1y7fJqhRowa7d+8G4Nq1a7i6urJ+/XomTpxIixYtqFmzJpaWlqjVapycnCSa0PwwduxYYmJicHZ2pnnz5mzevJlZs2bh5eWFk5MTJUuWxMrKCo1GI/GeCyGwsLCQCEBycsflcrlkxMLDw/muRo2XttNLjZhKxWxPT8qWLcs6K6vCX6+Qxio9PZ0GDRrQoEEDRo4cyYKSJfNMxgpaUmUyLvbq9eIbHz6cnWpUmHv8zWQec+fOfa406tOYMmUKderU+de4tN8a5jcJRZipZgnBw+hoyaW9devWl9/vX+S22rNnD0ajkTFjxhAfH49Go8Hf35/69evTpEkTgoODpdxpR0dHVCoVTk5ONG3alCVLlkj7oWfOnEGn0xEUFISTkxOjR4/mxx9/fPmMugDbCw+FoI+1Nd988w2Q7b41GAysWbMGS0tLFAoF9vb2uaKpAdLS0hg7diwGgwGDwYBarSY0NJShQ4fyS+/eBSaXeCAE5wYMoI+1NWZr65calqwn57wnk2Fvb58vIUaFChU4/FT6Tc7+sr29PRqNhokTJ3Lp0iXs7Ozw8fHBycmJ7du3s3//fpYvX86MGTPo168fcXFxlClTBrVajUKhkLYQjEajlPb0NB1qjvFVKBR4e3tL5BgLFizgypUrmM1mTp8+jVqt5qcePV4tYvkVDPPD334jLCyMlt7ehQ8mK6Sx2r17N66urn95HYrJw/W1UsnYsWOfq7l+9epVhur1pBeRX+DvwLRp0/6KVH8BMjMzqVSp0l8aA2843hrmNwXFaCQ3b96Mu7v789VansYb7LbKzMzkzJkzTJgwAbVaTXh4eK484JCQEGlwDw4OZtSoUdjZ2ZGZmUlmZibfffcdycnJxMTEYGtri7OzMxqNBg8PD2xsbCTX8XvvvUffvn2fX5FCbC88EIJRjo4cO3YMyE5jkslkWFpaMnPmTFq0aEG3bt24desWy5cvp3Pnzri7u+Pq6kpCQgJJSUl4enpSq1Ytdk+bVuiAn4dCUEOlwnz4MDRpQoalZd4VtLU1aTIZG6ytqfjEbVq5cmW8vb3zRNqXLVtWCu568OABKSkp2NvbI5PJ6NWrF927d6dhw4YS2UcOY1lgYCANGzYkPj6eFi1aEBERQalSpZDL5RJtaU66k0wmw8PDg8aNGxMUFISbmxsrV67kzJkzuLm5AdnehI8++ogSJUrQpk0bLly4wM8//0wvhYKMYgjWyhKCdQoF5cuXR6PRUKJECZK9vfPmzb4mY5Wenk5AQADLly//68Niigk57u5OuXLlqFSpkpTZkYN79+5Rvnx5PvjggyLzC/wdGD9+fL7ZGPnh5MmTGAwGfvvtt9dcq6LjrWF+U1DMbuXOnTuTmJj48vsWwX1uLia3VY4BfjooJscAOzo6olAoaN68OQsXLuTQoUN50sLS0tJYu3Ytbdu2RS6XU/6JEMHly5f58ccfSUxMRKvVEhUVRdeuXalTpw4qlQorKytp9X3p0qVib58MhYIIe3uaNGkiEa0MHjyYPXv20L9/f5RKJSqVirp16zJz5kxOnTqVKwDs2rVrNGrUiFXiFZienmdgZDJWPkW+Yr5+na8qVGCJXE5qRARL5HLSJ0xg2UcfIZfLcXBwwGAwULp0aXr06IGHhwczZsyQWKisra3x8/PD3t4eS0tLidpRr9cTEBDAtGnTmDlzJqNGjaJixYpYWFhIz56j9pXj1ahQoQIymYzg4GA0Gg29e/fmxo0b7Nixg8DAQMLCwjh+/DgpKSm4urrSoUMH1Gp1rgnnvXv3GD16NHq9npExMUVnrXpSHspkNPXwoFy5chgMBkaOHElUVBRzg4JeiVM+U2TnWBfWWE2fPp2IiIjcAYHFtGJerlJJEphCCPR6PeHh4QwYMIAKFSrQsWPHv+77CoRF+fEL/F0YMWIEY8aMeeXjJ06cmLdd30C8NcxvCoqp06XWr09mZiZ3797F3d09X53ePCiMxJtMxrLatQu0Z/MiA+zu7k5MTIyUB3zo0CE2bNiA0WjMQ2n5InTo0IHOnTtTu3ZtyW0cExPD999/n+u4R48e0a1bNxQKBW5ubtjY2FC7dm0++OAD/vvf//7FqFUEj4JZJuOwm5u0N+rn54dMJqNcuXIMHjyY2bNnYzKZ8uQtX758mT59+qDT6ejbpk2RxSgey+WUd3Vl1KhRZGRkcO7cOaysrIiNjcVkMtGpUyfi4uIkHuWcAdvf3x8PDw8cHBwYPHgw8+fPR6fTMWHCBJycnKhUqRJt2rTB4kkaUM6KVy6XS2IeNjY22NvbU6JECXQ6Hbt27cJsNnP06FGaNGmChYUFPXr0+Etf/AkyMjKYO3cuDg4OdO3alXPnztGzZ08sLS0ZPXp0noH12rVrHHZ1LXwU+lMlzdKSi0OGSNc+deoUCQkJ6HQ6/Pz8SAoNJbNhQ8xKZZ50rhxjdblyZSL1egYPHlxgycMrV65gMBjy7s8X8+T9xo0bTJ48GYPBgFarRalUSr+htbU1Xl5eREdHM2LECA6sXUvmpEm5CIuexy/wd2LAgAFMnjz5lY/PyMggNDSU+fPnv8ZaFR1vDfObgmJyU2UKwSqZjEidDk9PT1QqFc2aNaNPnz5MmjSJhQsXsmHDBo4cOSIFHgEFdls9nDaN6tWrk5CQkCsFCQpugPMjRtm5cydGo7FAlJp//vknLVq0QK1WS2IAKSkptG/fHp1OR7Vq1ZgxY4a0Ot67d6+kivXnn3+yceNG+vfvT0hICHZ2drSoXZuMZwfegk6UhMAoBO7u7tjZ2VGhQoVcbvNJkyZRvXp1MjIyOHPmDImJiZLe86VLl2DyZLKK6JpNlcmY7uyMlZUVsicBgkqlEqVSicFgoG3btixevJiSJUtKUdUWFhYcOnSIpUuXSmxdHh4ePO2etrKyws7ODr1eT+vWrRk8eDD29va5JoOnT5/GYDDQrFkz/Pz80Gq1VKtWDRcXF2bMmEHDhg358ssvn/ub/u9//+P999/HaDQyffp0oqKicHFxycW7DcD160WewJjFk2j056xyf//9d7p3746VlRWurq78vGcPTJlCavPm/OjhwddKJbtiY0l78n5du3ZN4ll/dmL4IrRq1UoKFsyF1xQT8vjxY2rUqIGlpSVffvklly9fZsGCBSQkJBASEoLBYJAmlzY2Nvj6+lKvXj3GjRvHoUOH8vT/vxM9evQoMLvXiRMnMBqNr0zk80/grWF+U1BcqUsie6WWZW3NxSFDiImJISwsjKlTpzJgwADatWtHdHQ05cuXx/nJYK3VailZsiSdg4M54OxMuoVFnpVAlkqFWanE3Lix5La6e/cu1apVo3r16owdO1YywNbW1q9sgPPDjh07MJlMf+ngvgTHjx+nU6dO2D9xGxsMhjwrqsePH7NhwwYSEhLQ6/VUrVoVT09Ppk6dSv369enQoUOuc27dusWPbdvyuIic05lCsNrDA7PZzKlTpwgKCsLKykqacGRlZVGl2ZAtyAAAIABJREFUShX8/f0xGo2MHDmSmzdvAtnpUQd9fYvlnbgRHc0vv/xCixYtqFy5MoGBgXzxxReSR6F3796UKlWKp9Wscvicc5SJcgKx1q9fz+3btzGbzfj7++f6nVavXo27uzs3nhr8x48fT4UKFSSjb2Njw8GDB4FsV+SIESNe+hufPHmSqKgojEajRMRhMBhITk4mIyODiz17FjliGbkcevZ8aV3++OMP/P39sbKyolmzZhLT2alTp4iNjcXb25sVK1ZgNpsxm80sWrQIo9H4woCrHOzYsQMPD4+/eOSfxWuICfnkk0/w8fFh/fr1+Pj4kJCQkG98yoULF5g3b56Uf50TBZ+TZVC6dGkaN27M5MmT+eGHH/4Wd3Hnzp355JNPCnzeuHHjiIqK+quOz2FY/Kc8Am8N85uC4nBTPVvUalKnT8fd3Z3Nmzfne1uz2cytW7c4deoUu3bt4uuvv2b++PFsCg9nv68vhxwd2WA0MlajwUWhwMrKChsbG2mgzvm/Xq+nU6dOzJkzh0OHDnHz5s3cbu5XfPG3b9/+SlzRGRkZfPPNN4SFheHi4sK4ceO4fv06ZrMZFxeXF9LwPX78mOHDh6PT6dDr9VSsWBEXFxf69++f+8BimiyZLSykVVh6ejrR0dFYWVnxwQcfEBsbi6OjI3Z2dqxfv156to8++giTycQJT89iqcPlkBD69u3Lu+++i16vz2OATSYTAQEByOVySsjlDJTJOFqmDA/feYcdzs4kOzjwTmAgQgjpdz1w4AC+vr55BuAhQ4YQHh5Oeno6KSkphISEoFQq6dKlCyNHjsTJyQmDwcDRo0f58ssvadas2Qt/6xyYzWZGjRqFWq2mbt26bN26VWLOKq685VfNyc/MzCQ+Ph5PT08cHR2JjY2V0ty2b99OuXLlqF69ujQBuXjxIhEREVSqVEniw87vvSxduvSLtcSLWZd43bp1lChRQgoCu3//Pl26dMHT01NKi3sRcqLhZ86cKeVfa7VaKZgvJ3uiRYsWzJgxg9OnTxerwW7Tpg2LFy8u8Hnp6emEhISwZvjwFzIsolIVSAikuPDWML8pKA431XM648HZs3Fzc8uzj/csclzQq1evllzQwcHBuVbAvXr1YtKkSSxYsICvvvqKTz75hNGjR1OyZElMJhM1atSgdOnS6HQ6LC0tiTIY2K7R8Fguz0N2kaFQkKVQkBodTcb+/Wzbtg2j0fjCAeHmzZtMnDgRNzc3qlevztdff016enquY1q2bMnnn3/+3Gukp6dTsmRJNm/ezOPHj9m0aRNxcXHI5XJ8fHyYOnVqduRmcTGj5QyKc+diNpvZuHGjlJdbsWJFrl69yubNm3FxcWHVqlUEBATwzjvvsG3bNo6ULl0s918il0sBV/Hx8RLz2ODBg/Hx8aFSpUo82rOHtZaWpIq80n9ma2vMSiUrhWB2+/ZANg3spEmT8rRvWlqa5AEICQlh5cqVHDlyBAcHB65du8aMGTMwmUzo9Xq++OILypYt+8L38mlcuHABFxcXkpOT0el0uLi4IIRgXVF5wXNKAVjssrKySExMpHLlykyfPh0vLy9q1qzJxo0bycjI4LPPPsPZ2ZlWrVrx22+/kZWVxZw5czAYDMycOTNPfMbkyZOJiYl5ueEqJq7sQ4cOYTQapcnD01i3bh1OTk4MGDCgwHvkkG2wf/zxR6ZMmULjxo0pXbo0dnZ25GyD5KQstm7dmrlz53LhwoUC3wOgadOmuSPXC4BLw4bxUIiXK5D9A1Hnbw3zm4SiuKle9FI1aUKXLl3o1KkT8GoGuH///gVyQWdlZdG1a1cqVaok5edmfPQRWdbWL33xM0V2elGSyN6LDQsLo3nz5vTo0YOxY8fyySefMH36dOrVq4ednR2tW7fmu+++e25dZs+eTceOHZ/7/bx58/KNzDx27BharZbY2FgMBgMbDYZi/S0ylEralC6Nv78/o0ePxmQy0blzZ9zc3Fi6dCl+fn4oFAoqVqyITqdDCMHQJ4ayKPc1q1R5SGAaNWrExIkTMZlM6HQ6Pq1QgTQLi5fSPeaQl2yoVw97e/tc4iCPHz/m008/xcfHh8qVK+Pg4MCqVauk7wcNGkSLFi2AbMYmvV6PTqdDoVDkcfGmp6dz4cIFdu3axaJFi/jggw9ISEigcuXKUnT30yv+pc+TPyxoKSCLXVZWFt26daNSpUrcvHmTpUuXEhAQQHBwMMuWLePOnTuMGjUKvV7PoEGDuHPnDmfOnKFatWrUrl1bMkgXL14smOBCEVOZzpw5Q4kSJXJxlD+LGzdu0KhRI4KCgnIJkxQFWVlZHD58mHHjxtGgQQP8/PywsbEhJ2jQYDAQEhJCQkKClKP+IsTGxrJ27dqCV+R1CoEUA94a5jcJRXFTvWgwtbJiUr9+2NjY4O3tXSQD/CKYzWb69+9PQEAAdyZNKvCzZCiVXBk+nJ07d/LVV18xbdo0GjduLBGGuLq64ubmhkqlwsbGBi8vL6pUqULDhg1JTExk+PDhzJo1iylTpuDi4sKpU6e4detWLgN8//59nJycpPziZ7Ft2zYcHBw4ceIEpzt1KvIe87NG7UqVKtJKKTExkU6dOhESEkLOSkIIgUajoXLlyvj4+OBsaflaxCji4+NZsmQJZ86cIUmIAlN3PhSC8a6uQDY3+IcffoirqyuRkZGSx+PQoUPZ+sG//gpks7j5+fmRkpLC/fv3mTFjhjQoN2jQgPj4eKpXry7tRet0OpydnXFyckKj0WBpaYmHhwdqtRqZTIZer2f9+vXs3buXuZ6eRVbTeiSTFYrFzmw28/777xMSEsKtW7fIyspi7dq1VK1aFV9fX+bPn8+5c+dISEjA0dGRuXPnkpaWxuTJkzEajSxYsIBmzZpJ9KavjKdSmR49OzF5QSrT9evX8fHx4eOPP36lZ/v8888xGo0kJye/tkCvzMxM9uzZw8iRI4mJiZHGqRymN5PJRMWKFUlMTGTJkiVSHEZ4eDjbtm0r2M2KeTvgdeCtYX7TUJiZ3EtKmlzOulq16NevH46Ojs/P2S0GmM1mPu3atfCDpFrN/7ZuZfz48bi6ulKzZk1WrFiRa0VlNpu5d+8eZ86cYe/evaxatYp58+YxZswYunXrJqXh+Pj4oNVqsbKywtnZmfLly+Pr64uXlxcDBgxg6tSpLF68mC1btnD8+HH++OMPyQXp4+PDzZMni397QaXi6KZNvPvuu6hUKp5muHp6BWhjY4NCoaBBgwb84u//cnfbc0qmEJwsXTqPslZiYmJ20Mzhwzws5LUfCsHw6GgcHR1p1KiRxAhmNpu5fv06hw8fpkuXLpQoUYL33nuPhg0bSiljKpUKLy8vfHx8yJmUuLi4YGtri1arpWrVqnTq1Ink5GTWrVvH2bNnSU9P5/3330cmkxEUFJTLxWq+dq3IEfSPhODUK+yrPu+9HzBgAOXKlZMC38xmM7t27SIqKgpnZ2emTZvG3r17eeeddyhTpgzr16/nhx9+wNvbG7VanS/T2ivhxg3meHqywWh8aSrTgwcPqFixIsOGDSvQLc6fP0/NmjUJCwv7Wwk6Hj9+zPbt2xkyZAgRERF4eHhI/cbS0hIrKysCAgLo1q0by5cvf+l2HfBGkyrl4K1hfhPxqm6qgpQnLrquXbu+0M1bLGjcuNC8wllCsMbKio4dOxYoxeRZ1K1bV6LETEtL4+LFi2zatAlbW1umTJnCxIkT6dOnD/Hx8YSHhxMYGIiDgwOWlpYYDP/H3nVHNZH10ZdGCpBASCihCiiICIogIqDSBVRARRFBsWBfsWJde137rmIva0H8XFREdFXsvXfXtnZRsYv0JPf7A5w1UlNcdeWeM+eQMPPmzWTm/d77lXsNIBKJwOfzcVIiUV3NpwJjNvQTA6yvrw8DAwNMnz4dR44cwdq1a8HlckGj0f6hvlRjhl/IZGJk6YC2ZcsWynuQkJCAefPmoTA0VOXaXykhSKXREBYWhp49eyIgIAB2dnbgcrkQCoVo2LAhQkNDYWVlRTF5+fj4QCAQgE6no1atWggODoadnR3Fr12RW/LNmzdo1KgRmEwmWrdujYSEhDL7vGreXC01rat2dtWid6wIcrkcY8aMQb169fDs2TOF/507dw6RkZFU5v369ethZ2cHX19fWFhYUHzvH4lglEXjxo2r5HovLi5Gq1at0LVrV5USsKRSKbXK//33378qSUdeXh4yMjJgaGgIFxcXmJmZQUtLC4QQaGlpQSKRoFmzZhg0aBDS0tL+yXL/TmiIawzzt4qPbipNxc5Kk1rev38PS0tL7Ny588v0WwMPfrUUcKrA9OnTywzeffr0wdChQys9TiqV4vHjxzh69Cg8PT3R0dpabRfp59sGJhPDhg3D+fPncfv2bTRq1Ai//fYbpFIptm/fDrFYTDFwUSQTKnhS8hkMnCnNK9i3bx8cHBwQGBiIGzduYOTIkegVHq62m7yAToc5h4N+/fph2rRpGDNmDHr16gV/f3+YmpqCx+PByckJenp6CA4ORkpKCo4dOwYzMzOKOGbVqlUICQmBUCiEjo5OmeS/s2fPUlzcp06dws6dO+Hv71/mt7u8cqVafNaPt22DSCRSKdnpU0ycOBH29vblxkdv3LiB7t27Q19fHwkJCfD394eWlha6d++OHTt2wN7eHh06dKC43asLR0dHtK1kJSeXy9GrVy8EBgaWSZZUFhcvXqTO99Gl/LXwKUUsUDK+bdmyBQMHDoSXlxdMTEwo0hw2m40pAgEK1B1T/wW96RrD/K2jXTvNGIRPkloyMzNhZmaGN2/eaL6//5Ji1Ud2s6ysLNy+fRsXL17E0aNHsXv3bmzZsgU///wzLCwsMHv2bEycOBE9e/YEh8NBVFQU2rdvj+DgYDRr1gwuLi6ws7ODmZkZlYjEYDAofmQGg4F+NBryNDVBIgQ76HRYlaoWWVlZUYleHzddXV3q3HQ6HdbW1vD398diJyfkkqrpOWU0GqRsNn4Wi5GamoqHDx/i5cuXeP/+PWbPnk0ZudEsltox9HwaDSNLZR5dXV3Rq1cvzJs3D7t27cK9e/eoePrff/8NQ0NDqqRox44dsLa2Rm5uLk6ePAkXFxfcuHEDhoaG0NbWpmqjf/31VzCZTDg5OVFJhQ8ePICJiUmZZ+L48eMYIRCgUFle8U+Sevz9/ZGSkqL2azB16lTUrl27wrDRo0eP0K1bN9BoNERERKBnz54QCoUYO3YsBgwYAIlEQpXPVYrSMsQt2to4Z2paYRni5MmT0bBhQ7XzSD4iPz8fw4YNg0QiQUZGhkbaVAXW1tbVSph7/fo1UlJScLJ2bY2Pp18CNYb5W4cGDF0hg4H7AwYouJ769OmDbt26ab6/Gqr9PWRpidDQULRo0QJubm5wcHCAhYUFDAwMKCUiHR0dGBkZwdraGk5OTghxdcUyW1scMDPDWRMTrKfRsKVJE0wbPBgODg4ICwvDqlWrsGnTJuzYsQMHDhzAmTNncP36dTx48AAvX75Efn4+5HI5ioqKqGQkW1tbpAUHo1hDhvmOpyd8fHwo7efCwkK0b98eHA4He/bswcuXL/Hw4UNs27aNUmlycXFBx44d4cFi4XytWihmMsuQwBQwGCik03HAwAAdSmO3QqEQPB5PgRv547ZWQ9dT0KEDNmzYADMzs0oVujIyMmBqakplckdHR2Po0KF4+/YteDweZDIZ7t+/DzMzM3C5XHh6eoLBYKBPnz4KpUVyuRy6urp4/fq1QvtHjx6Fqakp0kNDqxUKkpeTsZySklLualwVzJo1C9bW1hXGZMPCwjBy5EiMGzeO0uQODAyEqakpRowYASsrK3Tv3r18MZpSCdLq1N+uXr0aVlZWZQRJNIGDBw/C0tISffr0qZgU5QtCIpHg8ePHFf5fJpPh2bNnOH/+PDIyMnDfyUkzhlmJsjpVUGOYv3VowDVczGSica1acHBwwKxZs/D06VO8f/8eVlZWmp/taqj297GLC7Zv3459+/bh1KlTuHr1Ku7du4fs7Gzk5eUpxrcqGaSkpbXSO7lcFBw5Uq1LKCgoQFhYGIKDg5GXl4dx48aBEIIFhKhtnPNoNIzjcilaSQcHBxgZGUFHRwd6enplakoXLVqEBg0aoFevXqCVyjFeuXIFmRs34njbtjjv6IhzpqbYJRZjskAAEyYTZmZmcHV1BYfDwciRI7F48WIsXrwYTk5OcHd3x5kzZzBz5kwcEwo1OkgtXLgQNjY2CiVUn2PcuHFo1qwZioqKkJ2dDSMjI5w+fRoSiYQqHTp79iw1kagoScnd3R1HPvs9jxw5AnNz8xImsUrEF3IJQQGNhnQ2G7smT1Z4lgoKCiASiSqXAFUCCxYsgJWVVZnErh07dsDW1pZym3/0ZkgkEri7u8PBwQGOjo4IDQ2FpaWlIjWtEqVSUjYbw3R0cP36dY1cT3l4+/YtunbtCltb23Jror8EpFIpsrKywOfzsWHDBixbtgwTJkxA79690bp1a7i6ulLMhiKRCE5OTggKCsIxa2vNPPM1K+YaaCKLUC6X4/Dhw+jWrRv09PTQunVrTJw4UfMubU1Ri1b3wVdCJ7k6dYi5ubkIDAxEcHAwZs6cCSMjI1AlG4SoXVNczGSidZMm0NPTQ9OmTdGoUSN8jH+x2WwIhUJkZGQgNTUVc+fORUJCAuXWZjAY+OjqbtGiBXr06IFJkybh999/x8GDB3H37l0qfrhv3z54e3sjPz+f4rCOi4tDYmIiWrVqBbFYrDG2rILS2mQAmDRpEpycnCp8pqRSKVq2bEnF+jds2ID69evD19cXO3fuRHp6OjgcDgwNDWFrawsOh1NuPkT37t3LlPscPnwYlpaWGPWJAAWys4FffsElZ2dcs7EBYmPxYsQIdAkOhkQigYWFBQIDAxUMcUJCAsaOHVv5c6cEkpKSYG5urlA2Zm1tXS4bX0FBAZYtWwYbGxvUqVMHRkZGcHNzg6GhIQYOHIiC+fOVzjVQR+VKGfzxxx8wMjLCzz//rHIcu7i4GI8fP8bp06eRlpaGJUuWYNy4cYiPj0doaChcXFxgYmICJpMJQ0ND0Gg0BAQEoEePHhg7diwWLVqErVu34uTJk3j48OE/YjQf8S+F2tRFjWH+HqDhurucnBysXr0azZo1A5fLhYODAy5fvqyZvmrgwS9msZBbHSk3DZME3Lp1C9bW1hCJROByuZQh/GgM69evj1SiugSjnEZDbsuWOHz4MObPn49mzZpRMoh8Pl+hZIrD4aBBgwaIj4+Hh4cH2Gw2uFwu7t69i4SEBJiammLXrl0K/c/NzcW5c+ewdu1aBAUFwdDQECwWC3Q6Hfb29oiKisKkSZOQmpqKBQsWYEWdOmXVkZQ1ynQ6xpSSoowePRr79+9H//794enpWaZE6yNevXoFKysr/O9//4NcLkdoaCjc3d3RvHlzMJlM+Pv7Izc3Fzk5OXB1dYWWlhbS0tIU2pgzZw5++ozX+uDBg7CyssLw4cPLnLNdu3ZlxDL27t0LBwcHqqzuI+/25cuXYWpqqtGa3eXLl8PU1BR//fUXxo8fj3bt2lW6v1QqRUpKCpycnCiWtggzM7XKEP+N+tusrCwEBwejUaNGCtSjRUVFePjwIU6dOoWtW7ciKSkJY8eORY8ePRASEoIGDRrAyMgITCYTxsbGcHFxQWhoKOLj4zFu3DgsXrwYaWlpOH36NB4/foyioiLI5XLQaDTlfqearOwaaBQqGCF5NVaIFy9ehJ6eHgwMDNCoUSMsXLiQSrJRCRp48AvpdNTS0UHLli2xYsWK8jM/NTRZefnyJZYuXUqtXD+PxTZp0gS3b99GeHg4aDQaomxsVB4cPxCCYLEYTZs2RXh4OPT19REZGYklS5agT58+sLa2hrm5OdhsNhwcHFBLWxsTtLWxlhDsZrOxnkbDldhYvLtzB4sXL6ZKkj4SMnA4HNSvX1+BlGXBggUKNeDFxcXYsWMHPDw8YMJgqJ38JWezUfj4MQ4ePIgxY8agcePG0NXVhampKezt7XH+/Plyy2rOnTsHkUiE69ev48qVK9SkZMqUKWVcy82bNweLxaLK3wDgzz//hK+vr0KbBw4cgLW1tYJ610fY2tri2rVrZb4vLi7GokWLIBQKYWZmBkdHR5w+fRru7u4aD/OsWbMGYrEYenp6ePjwYbWOkcvlyMjIgLu7O7YzmWqVg32J+tuCggLcv38fJ06cQGpqKhYuXIhRo0bBw8OD4g8Qi8XU366urmjdujV69+6NCRMmYOnSpUhPT8fZs2cpHoHqorCwECwWS/lO19Qx10CjqKbbVk6jIZ/BQLK3d7Wa3b9/P0xNTfHHH38gKioKAoEAHTp0wK5du1RbNWjgwX///j1SUlIQGRkJPp8PPz8/LF68+J/6UDV1ku+6uKBhw4YKLmIWiwUejwdCCPT09HDr1i1kZmaCz+eDz+cjNTUVZ8+exYK6dZU2zjIuF8W//QagZDLg6OiIKVOmKNw2uVyOM2fOINbeHtvodOSTspzVuaTEnZ7GYKCjtTXq1KkDExMTbNy4EcXFxUhNTYWpqSksLS0VyP3v3r2LsWPHwtTUFO7u7hg2bBiaNm2q1n2UEYJ0LS3Mnz9fwXX56tUrpKSkwNLSEtra2jAxMaGkJT9NQFq5ciWsrKygp6cHJpMJLpdb7vNWXFyMkJAQSpYQKMlqNjIyKtmhNDP5qZ8f9vF4OG1np5CZnJOTAx6PV+mg/+rVKwwYMAC6urrQ1dWFr68vWrduXfWzroQqkVwuh7OzM3R0dHDx4sWq2/7sPOrKWiqz0svPz8fdu3dx7NgxbN68Gb/++itGjRqFrl27IjAwEI6OjjAwMKAkMBs3boywsDD07dsXkyZNwvLly7Fs2TI4OjqiWbNmX0Ri8e3bt9DV1VX+wBrmrxpoHJUktXxKw5dz4ABsbW2xfv36ajXbr18/dC0VJ3j9+jWSkpLg6uoKMzMzjB49moqPVQsafvBzc3ORmpqK6Oho6OnpoU2TJhrRSRYTQlF8crlcWFlZgUajwcHBAePGjUOtWrVACIGOjg54PB709PTg7OyMVq1aYSiPhw+kGm7tz2Lb7969g5ubGxITE6mVYV5eHs6fP49169Zha2Ag8un0apVEFTCZ+FksBp/Ph5aWFoyMjChVIHt7e5w9e5bKMjYwMMDAgQOpkMXp06fRqFEjtX+r2ykpCAwMRJ06dZCWlqaw2s3Pz0eLFi0QHR2NpKQktG3bFvr6+nB0dMTgwYPRv39/0Gg06Orq4uLFi2AymZg3b165j5RMJkOHDh3AZDKxZs0ayOVytNDWRkFISJWZyZdWrCi51mrg6tWraNGiBfh8PgghFSsXKZEV/RFbt26Fvb09kpOTYWRkVCnfexloKDZaOHUq7ty5gyNHjmDTpk2YP38+RowYgdjYWPj7+8PBwYEqG7SwsECTJk0QERGB/v37Y8qUKVi5ciV27dqFixcvIjs7u4wQx+coLi7GpEmTYGhoqJEytE/x7NkziMVi1Q6u4cquwRdBaVILYmMrpOG7ePEiRCIRrl69WmVzOTk5qFWrVpnayStXrmDIkCEwNDSEl5cXVq5cWb1ayC/kes/Pz8e1uDj162/pdEwWCPCRKegjT7WZmRl8fX2pZKwJEybgypUrVMnKRzens7Mz3Gg0XK5Tp8pJ0qducxcXF/j5+WHkyJFo06YNbGxswGazUa9ePSxzcVG6BlfO42Fnmzbg8XjQ1dUFk8mESCQCjUaDjo4OvLy8kJycjPz8fIX7eO3aNdStWxcAcCgqSnlijs9+q127dsHBwQG+vr4KjG3v3r1Do0aNqOxqqVSKI0eOoF69eqDRaGAwGNDV1UVwcDC0tbWhr69fodKQXC5Hjx49wGAwcDg6Gnl0erWUgYq0tPC7h0fVz+wn50lLSwOPxwOLxULLli0VS41UEJDIzc2FpaUlRaqyZcsWGBoa4tSpU9XrlIaSKteXMq41bdoU7dq1w08//YRp06Zh9erV2L17Ny5fvoyXL19qnNXr9OnTsLOzQ3R0dJkyN1Vx//59WFhYqN6AmkIgXxI1hvk/jtWrV8POzq5axvTAgQMwNTUt98UpKirCtm3b0KZNGwgEAsTFxeHQoUOVv8DKuN7pdKx2d69ejEmDg1RcXBwsLCygpaWF7du3o3PnzqDRaAgJCVFggHr27Bm6desGY2NjrF69GomJiYiJiYG5uTm2LV8O/PILciIisIfDQXGnTng8aBA2JyVh1KhRlAGm0+kQCASIjIzEhAkTsHnzZly/fr3EDazGyjWXRsPFFSuwfPly1KpVizJ4/v7+0NPTg4ODA3766Sds27aN4hK+d+8eLC0tkZycDFNTU1zu16/EPV8NJbACBgPvypF7LC4uRlJSEoyMjNC9e3fKmGVnZ8POzg5z5szBo0ePYG1tDS0tLaxZswY5OTlYtWoVeDweNRkyMjLC0qVLKzTQ//P1xQcl71ERi6X0wHrw4EEYGBiAy+WCy+Vi3rx5kC1apNJKa1vLloiKilJoPz09HWKxGMePH6+6MxoqQ5R/4frbypCbm4sBAwbA3NwcmZmZarf3119/oU6dOuo1Uk0P5L/hvv4UNYb5B0DPnj3RsWPHas2C+/fvjy5dulS6z7NnzzB79mzUq1cPNjY2mDx5csXJLNV88POPHEFQUBDatm1bNSWihgapm3XqQFtbG8bGxkhNTaXIOD7NAC4qKsKcOXMgEokwbNgwvHv3DtnZ2RAKhbh58yZSUlKgq6uL2NhYhISEgE6ng8PhoF69epQBTil197Zp06biiYcasV4pIfiDlKz2J0+ejGXLlkEgEMDHxwd3797F6dOnMX36dPj7+0NHRweNGzfGwIEDoa2tTSlpffjwAU21tCD/6J797LeSsdkoZDBwy8kJC2JjIRKJMG/evHLLYt6+fYvExEQYGBhg8uTJyM3NxcOHD2FoaAgtLa1yvTi7d+8Ek85kAAAgAElEQVQGj8fDsGHDYGlpiSZNmlAlU3379sWWLVtKSrD+xfigXC6Hg4MDtm7dioiICDRhMFRO/MslBNnllH3t2rULYrEYhw8frrwz/3YZ4hfE7t27YWpqioSEBOTl5anczoULF+Dk5KSZTlXDA/lvosYw/wDIy8tDgwYN8Ouvv1a5b05ODqytraulcSqXy3H69Gn07dsXQqEQAQEBSE5OLv9lq8aDX1BQgHbt2iEoKKjCUhsAGhuk1hICT09PdOnShaqH/LTvu3fvhr29Pfz9/bFlyxZs2LABo0ePhq2tLQQCAZU97e3tDW1tbcybNw90Ol2hdlImkyEuLg4BAQEVTzg0kMleQKfDkseDiYkJdHV1KcUdAwMDBcGB/Px8HDhwAFFRUSCEgMvlwtfXF1OnToWBgUEJEUbpb/WwRQuk02jYrqcH/PIL+kVGYs2aNQBKViv+/v5wdHSk6DM/x99//43IyEiYmZmhVatWlBrQhg0byt0/JCQExsbGOH36NMRiMZ48eYKLFy9i1qxZCAwMhI6ODg7o66suKqJCRu3cuXOpierrFi1UzoqWVXLuvXv3QiwWK5KIfI7vpP62unj16hU6dOiAunXrKhdr/wQnTpyAu7u7hnv2baDGMP8guHPnDsRiMU6cOFHlvpW5tCtCXl4ekpOTERAQAKFQiL59++L06dNKx6qKi4vRpUsXeHt7l5Fwe/36NTZs2ID1zs5qE33kEoINDRpALBaDy+Xijz/+QH5+Pi5evIh58+ZRAu4SiYQywO3bt8ewYcOgra2NzMxMBQO8dOlS1K5dGzweDzk5OQBKJi4DBw5E06ZNK6cr1NCg+2zYMERHR4PNZsPGxga1atWCubk5xGIx/P39qbKzM2fOQCwWgxCCt2/fIj09HYMGDYK2tjZ0dHTQpk0bzJ8/H/v37weNRkOfPn0AAO3bt1dI4JHL5UhNTaXUkcrjhX779i0cHR1Bo9FgYmKCFStWQCwWU7HWT5GZnIzxpVnV121tcdDcXCHDOf/BA0iV5cH+fFOyBvXFixcQCAR4e+vWF61/PXjwIMRiMXbv3l1+R76T+ltlIJfLsWHDBojFYkydOlWpUimgZJxq3rz5l+ncV0aNYf6BsG3bNlhYWFRLEWbAgAGIVdHt9eDBA0yePBnW1taoV68eZs+eXUYGrzLIZDL069cPjRo1wokTJzBr1iw0b94curq6aNWqFRLj4lCgpuJTHiEQkRLiEE9PT9SuXRtsNhsikQgsFgu+vr5Yv349rl69qmCAhw0bhn79+pXb7xEjRoDFYlEsUmPHjkXDhg2rZlbTsJvS29sbLVq0gIGBAeLj49GrVy9oa2uDyWQiIiICIpEI27ZtA5vNVvAQdO/eHbNmzcLGjRvRs2dPmJubgxACGxsbrFixAr6+vmWIPoCS2OHPP/8MAwMDzJgxg/IMXLp0CQYGBuDxeMjIyMD69ethbm6OFi1aQCgUKspaRkRAzmaXmXAVa2n9k+E8YMBXWTVGRkbieHj4Fz/30aNHIRaLK66f/g7qb1XBw4cP4evri6ZNm1ZLkOJjidpjHx+cEIsrLVH7XlFjmH8wJCYmIjAwsMr65A8fPsDa2vqfgViJes2PkMlkOHjwILp27QqBQIA2bdpg27ZtldL1FRUVYf/+/Rg0aBD09fXBZDIRGxuLtLQ0rFu3Dk5OTmjYsCGyXFwgV3GA/BiTdXR0hLe3N0xNTcHn86GtrQ1/f/8KRQeeP38OfX39ChWDZDIZdHR0EBISghkzZsDe3h7Z2dlV3ruili01Y5hLE3tsbW1x/fp13Lx5E127doWBgQHGjh2LoUOHgkajgclkomnTpuDxeLh58ybV/2nTpimwZk2bNg0GBgawsLBAp06dwGKxYGxsjPj4eKSkpJRc2ye4c+cOWrdujTp16iAhIQFaWlqwtrZWyD/Izc3F5MmToaurCx6Ph7uJidXPjFUzE//zCUx1sXv3bmTo6/8r5z5x4gTEYnG5E6Dvof5WVchkMsyfPx8ikQjLli0r39OmQona94oaw/yDobi4GM2aNcOECROq3PfgwYMIFolQGBqq9svw/v17rFy5El5eXjA0NMSQIUMoHdWXL19i/fr16NixI/T19eHm5oaJEyfi/PnzVA2kjY1NiXDB3LmQh4dDymSqbJjz6HR8OHgQQEkCiZeXF+zt7dGjRw84OzvDyMgIffv2RWZmpoJ7bejQoRgwYECl19mgQQNIJBLo6enh+Y4d1RpILkokGhn073p5oaioCGw2WyGeffv2bXTs2BF0Oh1+fn7o2LEjjIyMwGazoauri5CQEKxfvx5r165FREQEgJKB0traGv3at8dYNhvo3BlH9PVxx8MDh1u3RufAQAgEAjg5OWHw4MHYsWMH3r9/j8LCQjRr1gyEEEgkEgVaxk+RlZWFObVrK51drYntjbd3lfW3n0Imk2Hv54mLqm7VyIo+c+YMDA0NFZjOKCQlQcpmK2+U/8VSH3Vw7do1NGzYEK1atVL0sn3DpU1fAjWG+QdEVlYWJBJJuST6CkhKQiGTWXWyjZIvw82bN9GrVy/w+Xzo6OiAw+EgJCQEy5cvp0psCgsLsWLFCtjY2MDW1hZisRiPxoxBMZutOi0hKXWNJiXhxYsX6NOnDwwNDbF06VIFD8KtW7cwffp0uLq6QiQSoWfPntiwYQP09fUrlZgDAHt7ewiFQowWClGkpVUtcY0iQiBXkzBFxmZjHI+HvXv3olatWgp9evXqFRwdHTFkyBD06NEDQqEQ7dq1A720XGzNmjUICQmBjo4OBAIB0tLScGz+fGTy+ZBqaZWtcS6dVMjCwnB55UpMmTIFPj4+4HK5lCTngAEDMHHiRBgYGGDChAllEwLVWf2puaVqa0MkEiEqKgorV66sFj3mJU3JBVZztX7+/HkYGRmVIeV48OABhunoILf02fkvGqnCwkKMHj0axsbG2Lp16zdPBvIlUGOYf1AcPHgQRkZGFQ9KGn4ZCgsLkZmZiUGDBsHGxgZmZmbo06cPJk2ahLZt20IgECAqKgrp6emYP38+JBIJHB0dERsbi7Zt22JIKdOWqgOilJRILkoXLsTChQshFovx008/VZngdu/ePcyePRsmJiZgs9no2rUrtm/fXoawAyghjWCz2djfoQNk6sYjld04HCyZPBm1a9dW0BPOycmBu7s7hg4dSrkH7927h/j4eDAYDJibm6NevXq4fPky7t69CxaLhdm2tkqzmu3Zswc8Hg86OjqIi4tD48aNKYKT+vXrQyKRYMuWLf+4KNWJl6qxFTAYmKirC4lEAg8PD7i5uUFfXx92dnYYMGAA0tLSytU/fjNqlNoJh8rGty9fvgwTExOsW7cOQEmCZaNGjeDh4YGJbdoAbduigEaD9HOqzq9Yf6tJHD16FGESCQpUDWF84+77ylBjmH9gzJw5E+7u7mWl0TQoELF27Vp06NABenp6aNy4MSZPnoyLFy9CLpejoKAAly9fRkpKChISEiCRSPBRPILP5yMgIADt27dHOwsL5ZmpSjc5IZAyGJBFRMCLw0HdunXh4+OjlJrW06dPoa+vjzNnzmDBggVo1qwZ9PT00KlTJ6SmpiI3Nxe7d++GWCzGQA+PklX5v2lwPpH2dHBwQMOGDQGUlEb5+fmhR48e5cbsXFxcEBYWBh6PBy6Xi/Hjx2OYjo7Sk4pCFgv9GQy4ubkpCKC8efMG27Ztw08//QQLCwvQ6XQYGRlhxpAh6vM+q7pxOJA/f46bN29iyZIliIqKgrGxMUxMTODi4oK6deuCx+PBy8sLEydOxPHjx0vCGc+fo5BOV/vcyiYoXbt2DRKJBCtXrkSXLl3g6+sLU1NTKqHQWSLBq5Ejv5n6W02jqFWrf7U87ltBjWH+gSGXy9GmTZsy8nnqCkTcqFcPnp6e4PP5CA8Px9KlS3HgwAGkpKTg559/Rtu2bWFvbw82m43atWvD0dER2tracHNzQ0pKCg4ePIjmzZuDTqeDz+fjrIWF6lKLhCDX1xeRkZHgcDgKHNXVxaBBgzBw4ECF754+fYqkpCT4+fmBx+NBS0sLEyZMwDlLy6pdjJrePpkMdevWDQKBADt27EB4eDgiIyMrTPTz9/fH7t278fDhQ8TExKAJg6GyV6KQyYT05MlK7+Pdu3cRGhqKETSayhMttbYKBmq5XI6//voLixcvRocOHSAWi2FkZARHR0eYm5tTz/E5S8uvou5048YNCAQCSCQS2NjYYNu2bQBKEiVZLJbK2sffPP6DJWLVRY1h/sHx5s0bWFtb/xPL0hDZRe+2bREeHk4ZYDs7O0RERGDs2LHYuHEjjhw5gvHjx0MsFiMqKgpXrlzBo0ePKMao9u3b49ChQ1g0fjzy1RyQ8wnBL8OHY9y4cRg6dKhS9ycrKwv6+vqKXMmf4KN84eDBg9HRx0dtd6fSCW2fhQ8CAgIwbdo0cLlctGjRoqw35BOEhYWVxPBK8SEwUKOG5927d9izZw8mTpyIoKAg6OnpwdrauqQ++d8wxOXdq2q4NuVyOa5fv45FixYhMjISBgYGMDQ0RISZmerhFDXcqgcOHIBIJIK2tjZcXFyo7+/fvw8zMzOV2vwu8B8jVVEG5Gt3oAZfH+fPn4dIJCrJoNXAy1BAp2OXnx+Sk5Nx6dIlhQzhly9fYuzYsTAwMECXLl1w48YNnDt3DtHR0dDX10dCQgJVB/zHH39gPI+ntmtYxuEAv/yCgwcPonHjxkrdm4SEBAwaNKjc/127dg1GRkbYsmVLyRczZ6JIzSSuAlKaCKZiYo+FhQViY2Nhbm4OHx+fSrOPO3Xq9A8LlwYmZEVMJpZNnYpevXqhfv360NbWhre3NxITE7Ft27Z/smw1RKmqtGFUMRlILpfj6tWrmDFjBvqr4lVQ49wPHjyAsbExFi5cCJFIBAsLC8ydOxcAcOjQIXh6eqrU7neB/xANqbKoMcw1AAAsX74cDg4OKO7Y8Yu8DM+ePUNiYiKEQiHi4+Nx+/ZtpKWloXnz5jA3N8esWbOouJlcLseUKVNgZmaGl8HBGutPXl4eeDxe5Sxcn+DJkyfQ19fH06dPy/zv77//hpmZmaIsoKYGkpAQlYj18/PzwWAw4OzsjBcvXsDLywvTp0+v8Pp69OiB5cuXl3zQwIQslxAk0ulwcHDApEmTFOLNCtDUfWIwqiWQookM3RcvXsDJyQnx8fEYpqMDKYdTZchCTqNVSzGtIuTl5cHFxQXTp0+Ho6MjkpOT8eDBA9jY2GDmzJlYt24dOnXqpNZ1fdPQ1ATuKwp3qAomqUENCCE9evQgx44dI5f37iUummjwzRtCCCFPnjwhs2bNImvXriXR0dHk+PHjZP/+/SQkJITw+XwydOhQ0r59e8JisQghhBQUFJCePXuSmzdvklOnThGD3r010RtC3rwhXC6XNGjQgJw6dYr4+vpWeciMGTNIXFwcMTY2Vvj+yZMnxN/fn4waNYrExsb+84937zTTVzqdkNRUQl68IGTNGkKuXCm5n/r6hNSvT0hcHCFicZnDxo0bR+h0OtmzZw8RiURkw4YNxNXVlTRv3px4eHiU2Z/H45Hc3NySD5cvE1JQoFa3eYSQKR06EKdWrUhycjKZPXs2CQ4OJtHR0aRly5ZES0urZEcnJ4LUVEJT43x5hJALzs6ksakpoe/eTYqLiwkHoP4vZ7NJUVER4UREEDJqFCGuriqf68WLF8TPz4+0bt2aTJkyhTT76y9yNDycND9+nJCdOwkIUbiWPEIInRCyh8Egc2k0YpCZSdrweCQgIIBIJJJqnRMA6d27N7GzsyP5+fmkVq1aJCoqitBoNHLo0CHi6+tLzM3NiZubm+KB2dklz8zlyyXPo0BAiJMTId26lfvMfGsoLi4mN2/eJJcvXyb2d+9qZizS19dEK/8uvvbMoAbfDnJzc5Gup6eRWWpORAT69OkDfX19DBkyBBcuXMCYMWMgEokQFhaGw4cPl0nCevbsGTw8PNChQ4d/RCw07M5KTEysFrnK48ePoa+vX4ZKNDs7G3Xr1sWMcmQPNdXXp5+JaVQHK1euhFgsho+Pj8L3W7ZsgZWVVbm0oCNGjMC0adNKPnyB1cmLFy+wePFieHt7QygUomfPnvjzzz+xdvZsjVCqtqhXDyYmJkiaOBE/cziQx8TgffPm2Mbn43x0NOJCQ5W6h+Xh+fPncHR0xJgxY6jndc2aNWj18Tqzs7GlaVOcqF2byoqWzZyJy/v2Yd68eQgICKC0stlsNszMzBAfH4+MjIxKPTfz58+Hs7MzTp48CZFIVKZ+PisrC3p6eggJCSnp13fGiiWXy/H06VPs3r0bs2bNQmxsLJydncHhcGBnZ4fIyEjsDQxUv8KhJsZcg/8CsocPVzuBqYDBwM9cLkaOHIkDBw6ga9eu0NPTQ//+/XHr1q1yz3vp0iVYWlpi/Pjx1AD46NEjHG7VCvnqZjl/8nKmp6fDz8+vyvswYMCAMolib9++RcOGDTFmzJjyD5o5s2xNqZJbLiEYo6UFLS0tNGjQAImJicjIyKiUb3vz5s0wMTFBYmJiufHwfv36ITIy8p+JUClF6CUnJ/xVu3bJhKJBA80Y5grieefPn0dAQACYTCbYbDZOSiQlbmYVziElBBlcLphMJlJTU+Ht7Q1jOh0Xo6PxrnVr7OPxcM7BAXsCAtTKyH3+/Dnq1auHsWPHKkwiP3z4QJHNnDt3DkZGRnj58mWF7UilUpw/fx6zZs2Ct7c3OBwOeDweWCwWHBwcMGrUKJw6dYrKnt+/fz+MjIxw69YtNGrU6J9ww2fw8fGBpaUltgYFlbjMv1HCkfz8fJw7dw6rV6/G4MGD4efnB7FYDKFQCB8fHyQkJGDlypU4c+aMoqpcTVZ2DWpQiufP1VbwKWIwsG35cvj7+0MikWDatGkVxxsBpKWlQSQSYePGjXjy5AkWLFgAT09PCIVCDIyK0qii0OvXr6Gjo1NpicmjR4/KrJY/fPgAT09P/PTTTxWXWz1/rnZ9rpzNxt7kZMTHx8PQ0BB8Ph8SiQRcLhf169fHgAEDsGnTJipL/M8//4RYLMaFCxcQHx+PRYsWlelWfn4+nJycsGX06ApXVTIGQ2WKU6qN0iS7T3H9+nXEx8dDT08P8fHxuHbtGq5fv47FPXqorG0s5/GwduBA0Ol0eHM4yAkIQAGNVrkAhpIrxY9Gedy4ceX+3r1798akSZPg7u6OFStWKNW2VCrF2bNnMXXqVLi5uUFLSwtsNhtsNhsNGzaErq4u1q5di5kzZ8LPz6/C561u3bq4NWSI8vfxCxlnuVyOBw8eID09HVOnTkXHjh1Rt25dcDgc1K9fH507d8bMmTOxa9cuPHnypHpli/9R4Y6qUGOYa1AWEREqF/XLaDTs1tWFs7Mzfv/990rLdeRyOX755RcYGxtj6NCh8Pb2hr6+Prp27YqMjAzq2Nv162u0jKd+/fr/KBuVg379+mHYsGHU54KCAgQEBCAuLq5KjuV3fn4a6+vHbOCZM2fCy8sLPB4P9vb2qF+/PlXXymazMWrUKNy+fRstWrTAnj17yu1X1rhxyCVE5VVqdbZ8QvBTVBRu3bqFzMxMBAcHw9DQEBMmTMDz58/L/v5JSZAquSKScjiUUXny889KM5RVB8+ePYODgwPGjx9f4T5nzpyBSCRCkyZNlOLdLg/FxcU4c+YMRowYAS6XCzqdDgaDARqNBi8vL6xevboMQ51cLocXmw25qhzearJi5eTk4OTJk1i2bBn69+8Pb29vCAQCGBsbIygoCMOHD8e6detw6dKlSseAKvEfFu6oDDWGuQZlcfp0iWtMlcGZwcDppKQqZ8MPHz6Eh4cHdHR0wOfzERMTg+3btyuUVmVnZ6NBgwZoTKNplJavb9++mDNnToX90tfXpwxJcXExwsPD0b59+2rpxT5LT0euqsavioHk9evXSElJQWxsLAQCAeh0Oho2bEixQdHpdISEhODXX3/FhQsX/iEWUYVeVclNRqNhJ5cLfX190Ol0CAQCTJ06tVzqUgWU9q2qCYOcRkOxlhZGCATo1q0b3s2c+UX4k58+fYq6detWmYfw4sULMJlMLF68uPLrqybkcjliYmIQHR2NgoICODs7o3nz5rC3tweDwaBY09q3b48dO3YgKysL6SzWF19NymQy3LlzB1u2bMGECRPQtm1b2NragsvlwsXFBXFxcZg7dy4yMzPLnXxpBDVc2TWoQSmSkiBTcjYu+2Q1Ux6ys7OxZMkSeHl5gcFgwMzMDCkpKeUO3klJSWCxWDA1NUWzZs0wztAQxRpS1UlOTkZ4eHi5fezbty8lfSiTyRATE4OWLVtWe9b/5s0bDGKzv+hAcvPmTZiYmGDq1KmU5vNHQx0fH4+YmBjY2dlBIBBgoIcHitQNBVRjK2SxEGRggPr168PKygqGhobQ0dFBdHQ0bty4UfkFnTlTYXlYLiEopNPxwNUVuYcO4d27d5jfubPqzGGVTH6ePn0Ke3t7TJw4scrfoHfv3vD29tZYudK8efPQoEED5ObmYuHChWjatCm1Ei8qKsKhQ4fQs2dP1KpVq8RIl+O6V3r7LP765s0bHD58GAsXLkSvXr3QpEkT6OjowMLCAq1atcLo0aORkpKC69evV2uSqlHUqEvVoAalKJWYq8pVWFmt6MuXL7G8NN4sEAgQHBwMIyMjDBs2rFwX4KtXr9CoUSPQ6XQ0btwYBgYGmD17dolhrObLKavi5Xxy4QLG83iQf6aP/Oj8eQiFQmRnZ0Mul6Nv375o1qyZYkJKFZBKpaDT6ZBXt6/kH8Wr6uDBgwewsLDAypUrFb7fu3cvTExMEB4eDj6fDw8PD4wcORK3HB1V5xqu5vaBEPzu4UHxj8vlcuzatQuenp7Q09ODjo4OOnbsiOvXr1d+cdnZJTHqT3if8ydPxv8WLUJISAj4fD6ioqLwxN1dZZe8vIKVYlZWFuzt7TFp0qQqf4PTp0/D2NgY9+7dg0AgqDTxqzr4mOx179493Lt3DwYGBhXKZQIlhvpPPz+1DXOxlhZ2+vigVatWsLCwgI6ODpo0aYJevXph4cKFOHz4cKVJh/86KpnA/VeEOz6ixjDXoELI5XIc//VX7ORykUdIGXeyvIKX4dWrV1i5ciWCgoLA5/MRGRmJzZs3Y+vWrRCLxYqkHJ9gxYoV0NLSglAohEgkQlxcXFlyjypeTpmWFtLZbOQdPlz2BJ+UlJQZ1LhcFDEYuFK7NuSnTiExMRGurq7lKg1VBR6Ph5ycHIW+ysspYZGx2djOYiH/yJFqtfv8+XPUqVOHYn76FJs3b0ZYWBiAkpj4nj17MCY+Xv2M9ko2KSkJXSTq6uLvv/8ut8/Hjx9HcHAwdHR0oK2tjYiICFy9elXpewqUeFxWz5ypdqlVIYOBrEuXqHazsrJgZ2eHyZMnV9kHqVQKV1dX/P777wCA6OhoLFiwQKXrAUpoNY2MjJCZmQm5XE5RqlaF640aaeQ3vOjkhC1btuDOnTtqx8r/NZQzgfsvCXcANYa5BuVALpdj+/btcHNzg52dHdq3bw9TLS1MEQjw2M8P8nJehtevX2P16tUIDg4Gn89Hu3btsGnTJnz48AFyuRwLFiyAsbExjh49WuZ8b9++hbu7O2g0GoyNjeHq6oqTVQgiVPZytm3bFvPmzVPcv5orWDmNhiIWCxNNTFReCRkbG+PJkycKfX0yeDDSBAKFvk4eOLBCus/P8ebNGzRo0ADjxo0r9//Tpk1TSFgDoBE2LzkhkH6mqpRHo6GYyURxmzbAmTNISkpC7dq1kV3JwHj16lVERUWBy+WCx+OhdevWSil8afKaCplM/FyqpnX79m3UqVMHU6dOrdbpFy9eDC8vLyqHYv/+/ahfv77SwihACW9Aw4YNqXyHVatWoWHDhtUSpbhqba2ZCdZ3yIr1I6DGMNeAgkwmw+bNm+Hs7Ax7e3sEBgZCUJpsc+TIEVhZWeGPP/6g9n/79i3Wrl2L0NBQ6OrqIjw8HMnJySWrxVIUFRWhd+/ecHR0xL1798qcc82aNdDS0gKXy4WBgQFWrVql9sz93LlzkEgk/8SuVUgekXG5KsepateuXSauun37dgQHB1OfCwoKYGhoWHX8FSUDeFWlWt26dcPSpUsVv9QQ4clFJhPraDT8qaWFhy1aQDZzZpnVyZgxY9C4ceMq6U7v37+P3r17g8vlgsvlIigoCJc+Wb1WCQ1d020PD4SFhYHJZKJ9+/bVeuays7MhFosV+iuTyWBjY1Npln95kMvl6Ny5Mzp37gy5XI6srCyq7K2q4548eYI/xWLNGObvkEf6R0CNYa4BpFIpNmzYAAcHB9jb26Nx48YQiUQYO3asgiv5Y4nIrFmz0KZNG+jq6iI2KAjnoqJQ2KGDQrwW2dl49eoVfH19ERoaWsYl/P79ezRt2hQ0Gg1sNhuDBw/G27dvNXZNoaGhJTW9X6HcolGjRmUG6t9++w29e/emPicnJ8PX17fKtgoLCxEUFIQuXbpUajy8vLywf/9+xS81xOb1p5YWJBIJ+Hw+hEIhWrdujV9++QUnTpygkuLkcjni4uIQGhparcSg7OxsJCYmgsfjgcPhwNfXt0qjpMlr2ld63rCwMDRp0gQuLi44ePBgpafu3r17uR6OadOmoVevXlX3/RPMnTuXSvaSy+UICwvD2LFjFfbJy8vDmTNnsHLlSiQkJMDHxwcGBgYl7yabrXqlwsftO2XF+hFQY5h/YBQVFWHVqlWwtbWFnZ0dateujdq1a2Px4sUKCU/v37+nMpnZbDZ0dXWxdfRoFIaGVkgBKNPSwm5tbczv3LmMHvDGjRvBYrHAYDDQpEmTShNdVMXJkydhYWEBaZs2/zpBQYsWLbBv3z6F74YPH64QO/Ty8lLwPpQHqVSKyMhIhIeHV2nsDA0N8ejRI8UvNbS63CkSITY2FsOHD0dWVhY2bdqEAQMGwBKHRH0AACAASURBVNnZGTo6OvDx8cG4ceOwa9cuBAYGonv37tV27b579w5Tp04Fn88Hm82Gp6cnzp49W/EBGrqmLTo66NChA6ysrBAUFIRp06bB0tISERERuH37dpnTHjt2DBKJpNycg49iJ596iirDvn37qGQvoOR9sLW1RWpqKqZMmYIOHTrAzs4OHA4HTk5OiImJwS+//II///wTWVlZkMvlcBCJIFe2SuHz7TtlxfoRUGOYf0AUFBRgyZIlsLCwgI2NDUQiEVq0aIH09HRqVfbhwwds2rQJ7dq1A5/PR3BwMFavXl2S2OXmhgIGo8rM2M+zoz98+AB3d3cQQkqM+9atKsXmqovI5s1RrKYMoyqDV5s2bRR0jgGgQ4cOlMTi5cuXIZFIKo0lyuVy9OjRA35+fuXXApfSaqJzZxS1bIlkBgOyGTMU+6qheOwIBgMcDgfOzs7YvHmzgnF68+YNMjIyMHLkSHh6eoLL5UJbWxtNmjTBtm3bqh2nLygooKQNWSwW3NzccOrUqbI7akgFa72zM3JyclBYWIhFixbBxMQEERERGDJkCAwMDDB48GCK1KO4uBgNGjT4RyKzHLRp0warVq2q8jqvXLkCfX19DBo0CP369aNyK0QiEVq2bInExESsX78ely9frrBELy8vD2w2G/Lw8B+SFetHQI1h/oGQl5dHJWFZWlpCV1cXMTExOHfuHICSWObmzZsRGRkJPp+PoKAgrFy5UpFOMylJebYhHg8n4+LAZDJBo9HQt2/fqoknNIC/+/RRmfaR2lRw93Xu3LlM5rm7uzuOlGZf9+vXr8IkLqDEKA8ZMgTu7u5lV2HKiBVoiGvY3sAAMTExaN26NYKCgqhV8pw5c3Djxg2FyVVeXh62bt0KoVCIunXrQldXFw4ODujduzfWr1+PBw8eVHrvpFIp1q9fDzMzMzCZTDg7O+PYsWP/7KCBayqk09HR15cqv9q+fTvevHmDGTNmQCQSISoqCtHR0TA0NMSvv/6KefPmwcfHp9JJZFpaGkJcXanJkiw0FO/atMGlmBjMGDoU4eHhVA2yubk5unfvjvnz58PPzw99+vSp9J58jps3b8LGxuaHZcX6EVBjmL9lfLIq+jx+qwxycnIwa9YsGBgYQCKRQCAQYMSIEXj06BHy8vKQmpqKjh07gs/nw9/fH8uXL8eLFy/KNqTGQPCBELSRSKocmDWKryS03rdvXyxcuFDhOxMTEzx8+BA5OTnQ19cv63b+BJMnT0b9+vXL8osrSbIgT0rCHScnlSlCpYRAGh4OJpOJAQMGYP78+QBKPB9paWno1asXTE1NYWNjg4EDB2L37t0Uc9udO3dgYmKCLVu24OzZs5g3bx4iIiIgFothaWmJmJgYLF26FNevXy/X4MnlcqSnp6NOnTpgMBioW7cuDhw4UPJPNfiT5YSUCHagJM6dlJQELy8vSic8PT0do0aNglAoRHR0NDw8PMBgMLBo0aIKDfO7zEw89/REPiEo+CyDvYBORxGDgUdubhjs5YVOnTpR7aSnp8PGxkapOnmgpGadUhH7AVmxfgTUGOZvERqScHv79i0mTZpEJe2Ymprit99+w4sXL7Bt2zZER0dDIBDA19cXS5YsqbTcBYBaA6Lsa7jOvpLQemJiIqZPn059LigoAIvFglQqxZIlSypkHQNKksRsbGzK1m+rMAAXMBhYIRaXMLKpOJm6nZICU1NT9OzZs2zWN0oM6MWLFzF16lQ0bdoUfD4fYWFhWLZsGTIyMiAWi3H8+HGF/f/66y8sW7YMsbGxsLKygkgkQnh4OObMmYPTp0+XiacfOnQIzs7OoNPpsLGxwbH58wF14qscTpnV4oMHDzBz5kw4OztDIpGgd+/eiIqKAovFgr29PerUqQMfHx+kpqZi48aNGDVqFEJDQzFKTw+5pGq+bhmNhjwaDQWlk5u3b9/CzMzsn8mGElixYgXi4uLKPhs/CCvWj4Aaw/ytQQMv2atXrzBixAhoa2tDW1sbLi4u2LRpE7Zu3YqYmBjo6emhRYsWSEpKKqM3XCG+Rwm2r7RinjJlCkaNGkV9vn37NiwtLSGXy+Hk5FSh0MTvv/8OMzOzsmVlangq5Fwu/goLQ95nK7mqNimbjcmmplizZg3c3NzKdc+XhxcvXmD9+vXo1KkThEIhrK2toa2tjeTk5DJJgB/x6NEjJCcno2/fvqhXrx50dXUREBCASZMm4cCBA5Q29YULF+Dh4QE6nY7L6qhhVTFJvHbtGgYPHgyhUAg6nQ49PT0wGAxqs7KywvDhw3Ghd2/lJz2l72x8fLxClr4yGDduXNlQyA/EivUjoMYwf0tQ0y31/Plz9OvXDxwOB2w2G8HBwZgzZw66dOkCfX19eHt747fffqMkA5WCBpJu/vXyjK/U5wULFmDAgAHU53379qFZs2Y4duwYbG1tyy172rZtG4yMjMqnrVTDUyElBAeEQpzv1QtSDqdaSkxSNhvDdHQQGBiIIUOGICwsDG3btsXmzZuVug/FxcU4cuQIQkJCwGKxIBQKERMTg40bN5ZRS/oUL1++RFpaGoYNGwZ3d3fweDx4eHggMTER6enp2LFqlcZ4ogsKCnDhwgX8/vvvGDp0KAICAmBkZASBQABtbW14eHjAz88PAoEAAoEAOjo68PT0hB+fj0IVOcilbDZCjYxUYpUDgK5du5ahZKXwA7Bi/QioMczfCtRYFcm4XIwODKR0XVu2bInIyEgIhUJ4enpiwYIFePz4sXr909Dq87GvLzIzM3Ho0CEcP34cZ8+exaVLl3D9+nXcvn0b9+/fx5MnT5CdnY03b97gw4cPKCwsVC17+yut8levXo0uXbpQn1etWoXY2FjExMRg9uzZZfbPzMyEWCzGmfJWMxq6hicXLyJYLMbjJk2qtapasmQJhEIhWrZsib59+yI4OBg7duxQ+if4iClTpsDBwQFz5syhCGm8vb0xY8YMXLlypdLf98OHD9i3bx8mTJgAb29vDCdEbcNcwGBglpEROBwOHBwc0KlTJ0yfPh0ZGRl49OgRZs+ejYCAAKpfUqkUmZmZCAsLA4vFwlYaTa3Y/dOmTVW+lz4+Pti7d6/Kx9fg2weT1ODbwPTphOTnq3Qo8vOJW2YmcXByIg8ePCDv3r0jQUFBZO7cucTMzEwz/Xv3TiPNPLpyhUydOpUUFxeT4uJiUlRURP1d2SaVSgmDwSBaWlqExWJVe5vC5xOPggJCV6GvMkLIvTp1yKHt28ttu6K+5OTkkGfPnpHHjx8TFotFbty4Qfh8Plm3bh2ZO3euwjlOnTpFOnXqRDZv3kxcXV3LdmLNGlVuswJACNkUEkKaDx1KTEeMIOTFi5J2r1wh5M0bQvT1Calfn5C4OELEYkIIIb1dXUlKSgo5duwY8fDwIH/99Rfhcrkq92H06NEkKyuL7Ny5k+zcuZPIZDJy4MABkpGRQVq1akUIISQkJISEhoYSX19fhXNpa2sTX19f0qRJE7Jz507SycGBcK9fV+OOEMKWyUg3V1cy4I8/CIfDUfhfVlYWmT59Ojl27Bih0WiEEEIYDAbx8/Mjfn5+pPDRI8KwtiYMqVSlczMIIcbnz5f8DqX3Wxk8ePCAWFpaqnTuGnwfoAHA1+7ED4/sbEIsLQkpKFC5iUIajawcP5606taNWFhYaLBzpYiJIWTDBvXbiY0lZO1apQ8DQKRSabUN+Uejz716lTQeMYIwCwuVPmcejUba8PlE4OdHeDxeue2Xd953796R169fE6FQSH2WyWQEAJHL5YROpxMWi0UYDAbJz88nAoGAaGtrl2v4J927R1q+fKl03z/HMWtr0vTOHcrQVAd79+4loaGhxM/Pj7x584bMmzePeHh4qNwHmUxG2rdvT3g8Hlm3bh2h00umSwDI9evXSUZGBsnIyCAXLlwgzZo1I6GhoSQ0NJRYWFgQmUxG2rZtS/T09Mia168JbccOlftBwd6ekEaNSiadAgEhTk6EdOtGOg0cSKytrcnUqVPLP+6XXwgZP16t95VwuYRMnEjI8OFKHSaXywmXyyXv3r0rM6GowX8IX3W9XoMSfAfx21cjR6qvVPS1KABVjN3Lk5KQlJQEkUiEjRs3Vvt0J06cQOPGjanPPj4+MDExwYkTJyCXy1FcXIyrV6/CxMQES5cuxdOnT/Hw4UP8/fffuHHjBq5cuYLz58/j5MmTeNm0qUZCCNKQEKVv28OHD8FisWBsbAxzc3OcP39e6TY+R15eHjw9PcsKbnyC169fIyUlBbGxsRCJRKhXrx4aNmwIV1fXktIiTSX1fU5pyeVCqqWFXVwu8stTJ/uIr5RUCJSwjBkZGSl9XA2+L9QY5m8BX/FFrw6OHj2KemLxV2HR0hiSkiDn8aqV/PR5tvv58+dha2uL3r17UxnCFeL5czwbMgRpfD5Vez5JVxdNa9em4pWPHz9GrVq1sGTJkqr7/RWfDZlMBhqNhg0bNoDBYCg1OakMr169gr29fVkFsHIglUrRv39/GBoawsnJCUKhEOudnFCsYuJVdbaq9Ly/VhkeUDLpc3NzU/q4GnxfqDHM3wK+4oteFdauXQuxWIydO3fihbe3ygkv3wQF4JkzuO/qWqLnq2RJybt379CxY0c4OTmVrwj1Se355yU0uYSUTGoiIvBmzx44ODhgxowZ1evzV/amMBgMHDhwAAYGBjA2Nq6UGEUZ3L9/H2ZmZti0aVOl+23YsAHm5uZU8uKTJ0+wbs4cFCpZ/qXSVpFx/oqTpZSUFLRv317p42rwfaHGMH8L+AZXzDKZDKNGjYK1tTUuX76M2NhYuBGCfFUHxG+EArC4uBiulpa406eP0iUlcrkcS5YsgUgkUuRNVkLrOY9Ox9bAwOp3+CvWj+fn54NGo2Hz5s2U2lijRo2q9hpUE5cuXYJYLK6QZGP//v0Qi8Xl6zZHRFTJ1a4x4/z5c/sVJ0szZ87EkCFDlD6uBt8Xagzzt4BvLMb84cMHREREwMvLC3/++ScMDAzA4/FKhBn+AxSAy5cvR0BAgMrHX7hwAbVr10bPnj1RuGCB0vdDruz9UKOOWR1Pxd27d6Grq4uZM2dCW1sb7969Q+fOnREVFaUx8ZH9+/fD0NCwjPG9cuUKxGJxGZUuCurwRKt7/zQwWZKz2dWfLH1CzXvZ0hJ/feTkrqlN/s+ixjB/C/iGWLUePnyIBg0aoGvXrujatStoNBr8/PwUV0nfOQVgYWEhLCwscPLkSZXbeP/+PcYEBqoukqGMB+EriRWcSk/HNH19HLexwXZCIIuORtGUKQho0ABTp05Vqc3ysHHjRpiZmVE86k+ePIGFhQXWr19f+YGqTBI19W6pSfqylU7HpEmTKhdz0RA1bw2+P9QY5m8F6hDzV7YqUkII49SpU5BIJEhISIBIJAKHw8H//ve/8tv9zikAFy1ahNDQULXakIeHlyQKqTLYK7uS/Tc9FaUGQcpilc3E53IhZ7Oxk8PBwVmzlG+7AsydOxd169bFvXv34OzsrMA1XimqO0lUZyvPG6UOIRCHgyHNmoHNZpcks61fX9YD8Z1PfmugHmoM87cCNV70XBoNF1esKNueErPtjRs3QiQSISgoCDQaDc2bN8eHDx+q7vd3SgGYn58PiURCSV4qja/g5bjcrx9yabSqY6vqDNZKxMtzCcGjMWOUP0cFSEhIgJ6eHuLj45VzlVc2Sfy8JErVrbz8DTUnS1f+397dh9WY538Afx9JD9jknE45qJCQKQqRjjFmzahQasbTjI3ksh62sTNjl5gwMzuVMGy/MZ5mrY3dIY8xmF3XoFUaiagZxo6HShNFopHSw/n8/jgc0sM55z53nVM+r+vaa6+5z/393t8j+nzv79MnO5t8fX3J3NxcnZzjaXrLVjBdxAzDgdmUCPwHmTVvHsnlclqzZo36F5oevW2VtTUdGjuWunTpQlKplCwsLLQPIbYST1MRCtLM6wIePHhA3bt3p/Qvv2wwCNU87YQJHakQ8PevTCKhUhHWNqhUKgoNDSWFQkFBQUENJrxo1JNOYtXUqXRIIiHVtGlE/fqJE5gb2vEgwpttamoq9evXj8zMzCjcw0NwNjBTWWDJDMeB2dQI/Id+48YNGjx4MG0YMIBUL741aPvlCtAcgIYPHy74YP2WqKysjOzt7Sk7O1v/ws28kn7u3Lk0a9asZxeeBKEHQUH0bbt2VDB6tGEjFQaM2JS3aUNVaWnCnvtEVFQUDRkyhIqLi+n111+nefPmGbTAzNramkpLS5vn5/TcG3udf3t6TOscOnSIjuiSaKSx3wnG3pLIRMGB2RQJnL99nJJCFQIPAalq1+6l7G3HxsbSlClT9C/YjHvPk5OTqWvXrlRSUlLr+r1798jV1VW3g0q0MSTXNkDne/QQ/OgtW7ZQz549qbCwkIjUuYo9PDwoOjpacJ2Ojo7q9JkrV5KquUY2iooo7a236LBUSjVjx+o/rVNYaHhbjXmIDxMNB2ZTpu/8rZG21bRkpaWlZGdnV/+hIY1ppjfmR48eUe/evSkpKanW9crKSho9ejQtWLBA369clwjz5RUSCW1duVLvRx85coTs7e3pypUrta7/8ssv5OzsTNu2bRP0lTw9PdXZuppxLUBeXh7JZDJhIzBEJrdtkhkPB+bWwoS2XLU0n3zySa00jTpppl+iixYtosmTJ9e6plKpNKkYq6qq9P26TfJdaiwtaXn79nT8+HGdH5uRkUEymYxOnz5d7+eXL18me3t7Onr0qN5f6Y033nhWLji4yVfPq1QqCggIoI8//ljvtmqY4EFDzDg4MLcW3NsWrKSkhKRSKV27dk33Qs3QEcrIyCC5XK4Z4n0qPj6e3Nzc6P79+0K/cm0iBYSC0aPJ3t5epz/HGzdukEKhoH379jV6X2pqasO5qhsxderUZ4sY09Op2sJC2PfScUHV9u3byd3dnR4/fqxXO2sx4aN5WfMSkqaWmaKsLMPS0AHqfNDZ2eK0pwXp1KkT5s6di9jYWN0LyeWAvz+gRxrFWiQSICCgwXy8VVVVCA8Px5o1ayCXyzXXv/32W0RHR+Obb76BjY2NsGe/SKRc210sLREVFYXAwECUlpY2eN+9e/fg5+eHxYsXIzg4uNE6hw8fjs2bNyMwMBDXrl3TuS0ymQx3n6bLHDIEqrg4lOlc+glra2D1aqC+PNnPKSwsxIcffoitW7eiXbt2+j7lGbF+nra24tTDjIYDc2sh0i9XlJSIU08L88c//hF79+5FXl6e7oUiI9V5dQWoMjcHLV7c4OdxcXFQKBR49913NdcuXbqE0NBQ7N69Gz169BD03HqJGBDmzZsHpVKJadOmQaVS1bmloqICQUFBGDduHCIiInSqdsKECVi2bBn8/PxQVFSkUxmpVPosMAMwf+89bOjZEzUWFto7UxLJs6A8d67WZ0VERGDGjBkYrCWAa+XhARiaY9nKCnB3N6wOZnQcmFsL7m0bRCqVIjw8HHFxcboXGjJE/cvb2lqvZ6ksLRErlWLaunX49ddf63x++fJlrFu3Dhs3boTkSRC5e/cuxo8fj1WrVkGpVOr1PK1EDAgSiQTx8fF48OABPvroo1q3qFQqhIaGQqFQ6PfnDGDOnDmYMmUKxo0bh7Iy7e++td6Yn7g7cSL+FhoKBAcDlpaoNDOr+x0sLdWfJyfrFJT379+PCxcuYMWKFfp8nfrNmGF4HUTi1MOMy9hj6UwkPMdssNu3b5OtrS0VFBToV1DA3vOysjKaNWsWubq60sWLFzVVVVdXk4+PD61fv15z7fHjxzRixAhatGiRWF+1tiaYLy8qKiJnZ+daWbg++OADevXVVxs/H7oRKpWKwsLCKCAggCorKxu9d+fOnTRx4sRa1w4dOkSjR49+2kDa3Ls33Rw1SvCJdcXFxaRQKOjUqVN6f5cG8c4KRsSLv1oNXpUtigULFtD777+vf0GBe8937NhBMpmMNm3aRCqViuLj40mpVFJNTQ0RPQtGEyZM0FxrEk0QEC5evEgymYzS09Np3bp11K9fPyouLjaomZWVleTv708zZ85s9ACSY8eO0ahRo2pdKy4upo4dO2pWsru6utKlS5cEt2X69On0hz/8QXD5ehkpYQkzLRyYWxPubRssPz+fbG1t66yE1tmTvefV77xDSQA9DAnR+ib2008/kbu7O40fP55sbW1r7amOi4ujgQMH0q+//iqsPbpqooCwf/9+6ty5Mzk4OFBOTo4oTX348CENGTKEoqKiGrwnMzOT3N3d61x3c3OjjIwMqqmpIQsLCyorKxPUhqNHj5KTk1PT/Fz4rOyXHgfm1oR726KYO3cuLV682KA6rl27Rubm5rWGqRtTVlZG3bp1I6lUSufPnycioqSkJFIoFJSXl2dQW3TWBAEhJSWFrK2tqX///oKHsOtTWFhILi4uDZ56dvPmTVIoFHWuz549m/76179Sfn4+2dvbC3p2aWkpOTo60r///W9B5XXC2aVeahyYWxvubRssJyeHOnfubNCw6/Hjx8nGxoaOHTum0/3btm0jT09PSkhIIJlMRkuWLCGpVEpnzpwR3AZBnvz90Xpesw4B4aeffiJ7e3s6cuQITZ48maZNm2bQ+dcvunr1KnXp0oUOHDhQ57NHjx5Ru3bt6jwvISGBJk6cSCkpKTR06FBBz503bx6FhYUJKquXFp5alQnHgbk14t62wWbOnEnLli0TXP7vf/87OTk51Vr81JBbt26RXC7XvCmnpKSQubk5DRs2TLxDRPRx9iwdMDMjlYUFlb34d0bHgHD79m3q2bMn/e1vfyMi9YiAl5cXrRRwbGfjTT1LdnZ2z1ImPkeTyOI5169fpy5dulBCQoKgM9KTk5NJoVDQvXv3BLdZby00tSoTjgNza8W9bYP8/PPPJJVKBQfGjz/+mAYPHkxr167Veu/bb79NS5YsISL1m97QoUNp6dKlNGfOHOrVq5fwnNEClZaWkrW1Nf148iTFymR6B4SHDx/S4MGDafny5bWu5+XlkUKhoG+++UbU9h49epTs7e3p8uXLta5rElk8R6VSkUKhoPfff58iIyP1ek5ZWRm5uLjU+4bOmJjaGnu7FmsigwcDe/cCd+4A27apT/QqKVHvU3Z3V+91bODUKQa4uLjA398fX3zxBZYuXap3+dzcXHTt2lXrgRj79u1DdnY2tm/fDiJCeHg4nJ2d8emnn0IikSAxMRFjxozBihUrMG/ePM2+5qZUUFAAhUKBc3l5yPztb4GEBJ3LVldXY/LkyXB3d8fy5ctrfda9e3fs2bMHQUFBOHnyJNzc3ERpr5+fH1auXAk/Pz+cPn0aCoUCwLO9zM7Ozpp7JRIJlEolzp07V+vwFl0sX74cgwYNQlBQkCjtZqwhHJhbOzs74E9/MnYrWqSlS5fi1VdfxYIFC9ChQwe9yubm5qJ///6NBuaSkhJEREQgMTERlpaW+PTTT3H16lUkJydrAvCkSZPg5eWFSZMm4eTJk/jqq6/EO4qzAbdu3YJCoUBmZiYGDhyoczkiwvz581FVVYVNmzbV24nw8fHBqlWrEBgYiPT0dHTu3FmUNk+fPh2//PILAgICkJycDBsbmzqnfz2lVCoRExOj1+lpZ8+exfbt25H9Eh5Zy5ofn/zFWAP69u2LUaNGYePGjXqXzcvLg4uLC+7cudPgPR9++CFCQkLg6+uLxMREbNmyBUlJSbB64ZhPFxcXnD59Gvb29vDy8kJGRobe7dHH0zfmzMxMeHp66lwuJiYG6enp2L17N8zNzRu8b/r06ZgwYQImTZqEqqoqMZoMAIiMjISvry9CQkJQWVlZ7+lfgDow3717V+fAXFlZiZkzZ+Lzzz+HHY8ysWbAgZmxRixduhRr1qxBeXm5zmVUKhXy8vLg5ubW4BvzsWPHcPz4cURHR+Ps2bOYP38+kpKS0KVLl3rvt7S0xBdffIGVK1ciICAA8fHxICJB30mbgoICODg44MKFCzoH5u3bt2Pz5s04fPgwfvOb32i9f+XKlTA3N8cHH3xgaHM1nh4HamNjgxkzZkAqlaK4uLjOff369UNVVVWdDlBDoqOj4ezsjKlTp4rWVsYaw4GZsUZ4eHhg6NCh2LJli85lioqK0KFDBzg5OdUbmB8+fIjZs2dj48aNePDgAYKDg7FlyxadguDbb7+NtLQ0JCQk4K233sL9+/f1+j66KCgogJWVFaytrWtltmrId999h4ULF+Lw4cOa+V1tzMzM8PXXX+PYsWPYvHmzoU2uVe8///lP5OXl4fz58/W+Md++fRsWFhY4d+6c1vqysrKwfv36WueWM9bUODAzpkVUVBTi4uLw+PFjne7Py8uDk5MT5HJ5vYH5o48+wquvvooRI0YgMDAQERERmDBhgs7t6dWrF1JTU9GtWzd4eXkhPT1d57K6KCgoQHl5uU4dhezsbEydOhWJiYno37+/Xs/p1KkTDh48iKioKPz3v/8V2tw6rKyscPDgQVy7dg3Hjx+v83lOTg7s7e2RkpLSaD3V1dWYOXMmYmJi0LVrV9Hax5g2HJgZ02LQoEHw8PDAtm3bdLo/NzcXTk5O6NixI6qqqvDo0SPNZ2lpadi1axdWr16N0NBQuLu7489//rPebbKwsEB8fDxWr16NcePGYd26daINbRcUFKC4uFhrYM7Pz8fYsWMRHx+PkSNHCnqWq6srtm/fjsmTJyMnJ0dQHfXp3LkzoqKikJmZiV27dtX67MaNG+jTp4/WwPz555+jU6dOCA8PF61djOmCAzNjOoiKikJsbKxOi5Vyc3Ph6OgIiUQCuVyuWQD2+PFjhIeHIz4+HmvXrkVRURE2b95s0BBpSEgIzpw5g3/9618IDg5GiQj5tAsKCpCfn99oYH7w4AH8/f0RERGBKVOmGPS8N998E4sXL0ZQUBAePnxoUF3P69u3L1555RVERETgxIkTmus5OTkYNGgQsrKyGlw78L///Q9xcXHYsmULD2GzZseBF4sOygAADRNJREFUmTEd+Pj4oFevXtixY4fWe58OZQOAnZ2dJjB/9tln6NOnD8rLy7Fz507s27cPFhYWBretR48eSElJQY8ePeDl5YUzZ84IrouIUFBQgCtXrjS4VaqyshIhISEYOXIkFi5cKPhZz3vvvfcwZMgQhIaGQqVSiVKnVCpFRUUFdu3ahcmTJyMrKwuA+o3Z1dUVSldX3PrgA2DaNGD8ePX/x8VBVViI8PBwREVF6bWlijHRGPV4E8ZakBMnTpCLi4smbWBDAgMDac+ePURE5OfnR4cPH6aLFy+SnZ0dHThwgOzs7OiHH35okjbu37+f5HI5rVmzRtC51CUlJdS+fXuysbGpt7xKpaJp06ZRUFAQVVdXi9FkjYqKCvL19W00a5Q+nk9ksXPnTurWrRvl5ubSrAEDqEippEozM6ps27bOqXhVbdvSCVtbqk5LE6UdjOmLAzNjOlKpVKRUKmnHjh2N3jdgwAA6++So09DQUPrqq69o0KBBFBsbSw4ODnTkyJEmbeeNGzfI29ubxo8fr3cijkuXLlG3bt1o5MiR9X6+ZMkSGjZsmOB0idoUFhaSo6Mj7dq1y+C6XkxksXbtWlrh4EBlAKm0nCOv4nPkmRHxUDZjOpJIJIiKisJnn31Wd7i1qAiIiwOmTUPsjz/ildhYIC4OPTp0wL59+9ChQwckJCRg8eLF8Pf3b9J2Ojs749SpU+jduzc8PT2Rlpamc9mCggK0a9eu3vnlTZs2ITExEQcPHoS1tbWYTdaQy+VISkrC/Pnzcf78eYPqsrKygrm5uWbe+o8WFoi8exfWACRaFspJiIBHj4CFC4ENGwxqB2N6M3bPgLGWRKVSkbe3N+3evVt9IT2dKDhYnRTE0rLOsGilmRkdaNOGfu/lRbNnzxY17aEukpKSSC6XU1xcHNXU1NR/U2Eh0cqVRO++S3kDB9K+9u0pY9KkWskqDh06RA4ODvTzzz83S7v37NlD3bt3p1u3bhlUj6OjI12/fp1zlbMWhQMzY3o6dOgQDRgwgFQ6ptesBqi8TRuq+r//M0p7c3JyaNiwYTR27Fi6c+fOsw8a6VTUWFiorwUH04/btpFMJqPvv/++Wdu9YsUK8vHxoYqKCsF1eHl5qacVgoO1p0FtLD1qSIiI34yxxkmImuhcP8ZaKSJCtKMjFt25g7Y6HjoCALC2BlavBubObbrGNaCqqgpLly7Fzp078fXXX8M3K0s9TFterg4/DSCJBOVE+HnOHAxo5iFdlUqFSZMmoWPHjti6daugbUtjxozBorAwvB4WBlRUCG+MpSWQl8cZ2Viz4DlmxvQkycjAoqIi/YIy8GzOsomTUNTH3NwccXFx2LBhA5L8/VG1YIG6PTrMtVoDGJCQ0OxzrW3atME//vEPZGZmYu3atYLqkEql6HTggOGNkUjU6VMZawYcmBnTV0wMzIRmRSovB2JixG2PHsbK5Yitroa5vu03Uqeiffv2SEpKwurVq/Htt9/qXV4mk8Hq6lXD3pYB9c+NUz6yZsKBmTF9FBUBR49qXdXbICLgyBGgkXSQTSomBm2EBikjdSqcnJyQmJiI0NBQXLlyRa+yMpkMNfVkmBJEhFPVGNMFB2bG9CHGcKaxhkWfdCq0DV83yIidCqVSiZiYGAQGBjZ67KhKpcKlS5ewefNmhIaGIj4+Hll5eeI0wtZWnHoY04IDM2P6yMpqucOiLblTASA8PBz+/v6YMmUKqqurAaiPB01LS8OqVasQFBQEuVyOcePGISUlBUqlEpGRkajp31+9eMsQVlaAu7sI34Ix7doauwGMtSgPHohTjzGGRVtyp+KJqKgovPHGG/D19YWlpSXOnTuH3r17Q6lU4p133sH69evRrVs3zf3fffcd1u/fj98Z+mAiYMYMQ2thTCccmBnTh42NOPUYY1i0BXYq8vPzkZKSovnf1atX4enpiUuXLmH69Ok4ePAgbBr5mchkMlwtLQX8/aE6cABthAzjSyRAQABvlWLNhoeyGdOHh0fLHRY18U6FSqXCjz/+iE2bNuF3v/sdnJ2dMXDgQOzcuRPOzs7YuHEj7t27h1OnTiE1NRU7duzADz/80GidUqkUd+/eBSIjUdNW4HuIlRUQGSmsLGMC8AEjjOmjqAhwcmqZh1XExQHLlxvWdisr4OOPgT/9yeDmPH78GBkZGZq34dTUVNja2kKpVEKpVGLEiBHo06dPgweLHD16FOHh4fj+++/h6OhY7z3l5eXo1KkTKioqsO/NNzE+ORnt9NkqZsRDYdjLiwMzY/oKCQEOHBC2ulkiAYKDgb17xW+XNkbuVNy/fx+nT5/WBOLz58+jT58+mkDs6+sLhUKhV51r1qzBjh07kJKSgvbt29d7T4cOHXDr1i2EhYVhcadOGPz111pPPINEou6EcFBmRsCBmTF9nT0LvPaa+tANfVlbA8nJwODBojdLJ83Yqbh586YmCJ86dQrXr1+Ht7e3JhD7+PigY8eO+rfjOUSEsLAwlJWVITExsd63a2dnZ5w4cQITJ07El19+Ce82bdT7sY8cUX+n8vJnN1tZqf9sAgLUw9fG+jmxlxoHZsaE2LBBfRKWPsHZFIZFm6hT8XR++PmFWo8ePdIMSSuVSnh6esLc3Nzw7/CCiooKjBo1Cv7+/li2bFmdzwcNGoRNmzZhzJgxuHz5MuRyufqDO3fUW7+ys9UL2mxt1XP/M2bwQi9mVByYGRPqaXDWIRFEBQCr9etNY1hUhE5FRUVFnflhmUymeRtWKpVwdXUVlHhCiNu3b8Pb2xtr167FW2+9pb5YVARs24bv1q2Dm0KBkxcuYEp0NCRhYRx4mUnjwMyYITIytA6LVrz+OgLT0vCfe/eM184X6dipeDrXWvbJJzjZty9OnTqFlJQUZGZmol+/frUCsYODQ/O1vx7nzp2Dn58fUtetg+vevepTzoDac+pPh6r9/dVD1UOGGKexjDWCAzNjYnhuWPTKmTMorqnB8N//HpgxA9W2trCyskJFRQXMzMyM3dJnGulUqCwtQTU1yOrWDbFt2uBIYSGGDh2qCcJDhw41eH64KWTMmgW3rVthBTR+njkv7mImjAMzYyIrKSmBi4sLzp07B2dnZwDqgy4uX74MOxMcQq25fRuFcXH4NTUVD/PzceP+ffwgkSD3tdfg8dvfQqlUYuDAgU0yPyyqljrvz9gLODAz1gSWLFmCe/fuYePGjQAANzc37N69G/379zdyy9R7e8+ePauZHz59+jTkcnmthVouLi7NNj8sipa8Up6xF3BgZqwJ3LlzB3369MEPx49D8Z//4D9r1sCrVy/IevZUnx7WjAuQiouLa+0fvnDhAvr3719r/7C9vX2ztKXJtNS95YzVgwMzY03h7Flkv/MO+t64oR4CbqYFSESE3Nxczd7hlJQU3Lx5UzM/PGLECHh7e6NDhw6iPdPoWvJpbIzVgwMzY2J7MtdJ5eVNvgCppqYG2dnZtfYPV1dXa4aklUolBgwYgLZCz4luCUzsqFHGDNWK/7UyZgTPLUDSOkNLpJ4TXbhQ/d86BOfy8nKkp6drgnBaWhocHBygVCrh5+eHv/zlL+jVq1fLmh82VCtIZ8nY8/iNmTGxNMECpLt37yI1NVUTiLOysvDKK69o3oiHDx/+7CSrl9X48cA33xhez7hxwKFDhtfDmIH4jZkxscTE1D5gRB/l5aDoaNxYvbrWsHR+fj58fHygVCoRHR0Nb2/vBpM1vLRMPJ0lY/riwMyYGIqK1CdNCR2AIsLj/fsRmJoKt5EjoVQqMWfOHHh4eLTu+WExeHioV1QbOsdsjBzZjNWDh7IZE4MIC5BUlpaQfPIJJLwAST+8Kpu1Mm2M3QDGWgURFiC1qaiAhBcg6U8uV289E7rgTSJRp3nkoMxMBAdmxsTw4IE49ZSUiFPPyyYyUj0cLYSVlbo8YyaCAzNjYuAFSMY1ZIh6P7i1tX7lnp6VzcdxMhPCgZkxMXh4qOcpDcELkAwzd+6z4KxtWFsi4QQWzGTx4i/GxMALkEyHDjmyERCgHr7mN2VmgjgwMyYWTqRgWp7LkY2SEvU0gbs7MGMGd36YSePAzJhYOPUgY0wEPMfMmFh4ARJjTAR8pBBjYnq6kGjhQvXcZhNnl2KMtT48lM1YU+AFSIwxgTgwM9aUeAESY0xPHJgZY4wxE8KLvxhjjDETwoGZMcYYMyEcmBljjDETwoGZMcYYMyEcmBljjDETwoGZMcYYMyEcmBljjDETwoGZMcYYMyEcmBljjDETwoGZMcYYMyEcmBljjDETwoGZMcYYMyEcmBljjDETwoGZMcYYMyEcmBljjDETwoGZMcYYMyEcmBljjDETwoGZMcYYMyEcmBljjDETwoGZMcYYMyEcmBljjDETwoGZMcYYMyEcmBljjDETwoGZMcYYMyEcmBljjDETwoGZMcYYMyEcmBljjDETwoGZMcYYMyEcmBljjDETwoGZMcYYMyH/DxfvDhUOl9uOAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nx.draw(toy_network)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Get Features & Labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# select features from cancer and non-cancer genes\n",
    "features_cancergenes = features_df[y_train]\n",
    "features_noncancergenes = features_df[np.logical_and(train_mask, np.logical_not(y_train.flatten()))]\n",
    "# start with the negatives and then update the DF\n",
    "features_toynetwork = features_noncancergenes.sample(n=toy_network.number_of_nodes())\n",
    "pos_features = features_cancergenes.sample(n=len(clique_nodes))\n",
    "# workaround required to fool pandas indexing (otherwise it sets NaN values because indices don't match)\n",
    "names = features_toynetwork.index.values\n",
    "names[clique_nodes] = pos_features.index.values\n",
    "features_toynetwork.set_index(names, inplace=True)\n",
    "features_toynetwork.iloc[clique_nodes] = pos_features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "features_toynetwork.isnull().all(axis=1).sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(10.0, 68.0, 4.0, 26.0)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_toy = pd.Series(np.zeros(toy_network.number_of_nodes()))\n",
    "y_toy.iloc[clique_nodes] = 1\n",
    "mask = np.ones(toy_network.number_of_nodes())\n",
    "y_train, train_mask, y_test, test_mask = gcnPreprocessing.train_test_split(y_toy.values.reshape(-1, 1), mask, 0.25)\n",
    "y_train, train_mask, y_val, val_mask = gcnPreprocessing.train_test_split(y_train, train_mask, 0.1)\n",
    "y_train.sum(), train_mask.sum(), y_test.sum(), test_mask.sum(), "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Write to HDF5 Container"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "f = h5py.File('toy_example.h5', 'w')\n",
    "string_dt = h5py.special_dtype(vlen=str)\n",
    "names = features_toynetwork.index.values.reshape(-1, 1)\n",
    "node_names_toy = np.hstack([names, names])\n",
    "toy_adj = nx.to_numpy_array(toy_network)\n",
    "f.create_dataset('network', data=toy_adj, shape=toy_adj.shape)\n",
    "f.create_dataset('features', data=features_toynetwork, shape=features_toynetwork.shape)\n",
    "f.create_dataset('gene_names', data=node_names_toy.astype('object'), dtype=string_dt)\n",
    "f.create_dataset('y_train', data=y_train, shape=y_train.shape)\n",
    "f.create_dataset('y_val', data=y_val, shape=y_val.shape)\n",
    "f.create_dataset('y_test', data=y_test, shape=y_test.shape)\n",
    "f.create_dataset('mask_train', data=train_mask, shape=train_mask.shape)\n",
    "f.create_dataset('mask_val', data=val_mask, shape=val_mask.shape)\n",
    "f.create_dataset('mask_test', data=test_mask, shape=test_mask.shape)\n",
    "f.create_dataset('feature_names', data=np.array(feat_names, dtype=object), dtype=string_dt)\n",
    "f.create_dataset('features_raw', data=features_toynetwork, shape=features_toynetwork.shape)\n",
    "f.close()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
